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9607573
14488527
1
1. A method performed by a computer processor for modifying avatar motion, the method comprising: receiving an input motion sequence by the computer processor coupled to computer memory; determining an input motion model for the input motion sequence; modifying an avatar motion model associated with a stored avatar stored in the computer memory to approximate the input motion model for the input motion sequence when the avatar motion model does not approximate the input motion model; and presenting the stored avatar after the avatar motion model associated with the stored avatar is modified to approximate the input motion model for the input motion sequence.
8732667
12618320
1
1. At a computer system including a processor and system memory, a computer-implemented method for providing debugging functionality for debugging a programming language within an interactive development environment, the method comprising: an act of displaying an interactive development environment including a programming language grammar input receiving area that allows a user to view and interact with grammar inputs defining a particular programming language, a programming language input receiving area that allows the user to view and interact with programming language inputs that use the particular programming language as defined by the grammar inputs, and a parse output area that allows the user to view the current state of a parser, wherein the grammar input receiving area, the language input receiving area, and the parse output area are each displayed simultaneously; an act of receiving a step input from the user indicating that the interactive development environment is to begin stepping through each language input to determine whether the language inputs have created an error relative to the grammar that defines acceptable language inputs; and an act of presenting the resulting output for each language input, such that as the user provides subsequent step inputs, the interactive development environment successively steps through each language input and simultaneously presents, at each step: an indication within the language input receiving area of a present language input that is being parsed by the parser, an indication within the grammar input receiving area of at least one grammar rule that is being applied to the present language input, the indication visually distinguishing the at least one grammar rule that is being applied to the present language input from other grammar inputs, and corresponding output in the parse output area.
8739031
12194231
1
1. A method comprising: receiving text, wherein a portion of the text comprises an abbreviation; associating a sender of the text with one of a plurality of groups, to yield a sender group; associating a recipient of the text with one of the plurality of groups, to yield a recipient group; and upon determining a difference in the sender and the recipient group, wherein the different indicates distinct cultures of the sender and the recipient: expanding, via a processor, the abbreviation based on the distinct cultures, to yield expanded text; transmitting a message to the recipient which comprises the abbreviation and the expanded text; modifying, via the processor, a display presented to the sender in which the expanded text is added to the text having the abbreviations; and presenting a first advertisement to the sender based on the text and the sender group, wherein the first advertisement is distinct from a second advertisement presented to the recipient.
20070067173
11603586
0
1. A computerized method comprising: receiving pronunciation data for an out-of-vocabulary word, the pronunciation data comprising phoneme sub-strings selected from candidate phoneme strings having pronunciation data close to the out-of-vocabulary word in an orthographical space defined by a dictionary; and reproducing the pronunciation data for the out-of-vocabulary word as an audible signal.
9154816
14561088
1
1. A system to detect garbled closed captioning data, comprising: a closed captioning data detector to detect closed captioning data in a video data stream; a data extractor to extract individual data elements from the closed captioning data; a data counter to count a total number of data elements in the closed captioning data and store the total data element count in a memory, and to count a total number of data elements having a particular characteristic in the closed captioning data and to store the data element characteristic count in the memory; a percentage threshold detector to determine a percentage of data elements having the particular data element characteristic in the closed captioning data as a ratio of the count of the number of data elements in the closed captioning data having the particular data element characteristic to the count of the total number of data elements in the closed captioning data; and an alert that is provided when the determined percentage exceeds a predetermined threshold.
10108661
14859334
1
1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: creating a structured resource from a corpus of documents, wherein the structured resource comprises a plurality of first member entities and a plurality of second member entities; identifying a plurality of sentences in the corpus of documents that each comprises one of the plurality of first member entities and one of the plurality of second member entities; constructing a natural language context, for each of the plurality of sentences, based on a sentence context of the first member entity included in the sentence relative to the second member entity included in the sentence, wherein the constructing produces a plurality of natural language contexts that are different from each other; generating a plurality of database queries based on the plurality of natural language contexts, wherein each of the plurality of database queries are different from each other; creating a plurality of pattern maps that each comprise one of the plurality of natural language contexts and one of the plurality of database queries corresponding to the natural language context; in response to matching a question to each of the plurality of natural language contexts, assigning a priority score to each of the plurality of pattern maps based upon a relative amount at which their corresponding one of the plurality of natural language contexts have been matched against one or more previous questions; and invoking each of the plurality of database queries corresponding to the each of the plurality of the patterns maps in an order based on the corresponding priority score assigned to each of the plurality of the pattern maps, until a data resource match is reached.
8566078
12697047
1
1. A method of generating a statistical machine translation database through a game, the method comprising: retrieving from memory and providing to a plurality of players a monolingual structure; receiving a first translation attempt from each of the plurality of players; comparing, using a processor, the first translation attempts from each of the plurality of players; providing feedback to each of the plurality of players; and receiving and comparing attempts and providing feedback to iteratively converge subsequent translations from each of the plurality of players into a final translated structure.
9542496
14295556
1
1. A method, in a data processing system comprising a processor and a memory configured to implement a question and answer (QA) system, for effectively ingesting data for answering questions in the QA system, the method comprising: parsing, by a processor in the QA system, a received input question having a set of question characteristics; comparing, by the processor, the set of question characteristics found in the received input question to question characteristics associated with a set of previous questions; responsive to the set of question characteristics found in the received input question matching the question characteristics associated with one or more previous questions in the set of previous questions above a related-question predetermined threshold, identifying, by the processor, whether answers to the one or more previous questions were obtained from static information sources or real-time information sources; and responsive to the answers to the one or more previous questions being obtained from the real-time information sources above the predetermined real-time threshold, initially utilizing, by the processor, real-time information sources related to the characteristics of the input question to answer the input question.
20020120448
09986914
0
1. An apparatus for identifying one or more words corresponding to a sequence of sub-word units output by a recognition system in response to a rendition of the one or more words, the apparatus comprising: first receiving means for receiving the recognised sequence of sub-word units representative of the one or more words to be identified; second receiving means for receiving a plurality of dictionary sub-word sequences, each representative of one or more known words; means for comparing sub-word units of the recognised sequence with sub-word units of each dictionary sequence to provide a set of comparison results; means for combining the comparison results obtained by comparing the sub-word units of the recognised sequence with the sub-word units of the same dictionary word to provide, for each dictionary word, a measure of the similarity between the recognised sequence and the dictionary sequence; and means for identifying said one or more words using the similarity measures provided by the combining means for all the dictionary sequences.
20080057922
11931072
0
1. A method of conducting a search at a mobile electronic device, the method comprising: playing digital audio content at the mobile electronic device; accepting user input at the mobile electronic device to capture a portion of the digital audio content; providing information separate from the captured portion of the digital audio content; providing at the mobile electronic device a result of a search wherein the search is conducted using search criteria based on the captured portion of the digital audio and the information separate from the captured portion of the digital audio content; and displaying the result of the search at the mobile electronic device.
20070174812
10439913
0
1. A system for providing mathematical modeling in an object-oriented software environment, comprising: a processor operable to execute instructions contained in computer program code; and at least one computer readable medium including: a first computer program code providing a programming language that is general purpose and object oriented; and a second computer program code providing a modeling language utilizing the programming language, the modeling language providing high level semantics operable to support application software using statements from both the programming language and the modeling language mixed in a single string, the modeling language semantics representing mathematical expressions in a plurality of mathematical algorithms to be represented using the modeling language; wherein said first and second computer program code include instructions for representing the mathematical algorithm using the modeling language, solving the mathematical expressions, and producing an output solution and corresponding graphical results displayed in response thereto without requiring manual reentering of data to implement a numerical instance of the mathematical expression at runtime.
20090112840
11926568
0
1. A method of ranking an electronic advertisement relative to target content, said method comprising: extracting a set of elements from said electronic advertisement and said target content; calculating a first content match feature using said set of elements; calculating a second content match feature using said set of elements, said second content match feature comprising a machine translation feature; and processing said first content match feature and said second content match features with a machine learning model to output a relevance score.
20110013138
12502517
0
1. A computer program product having a computer readable medium having computer program logic recorded thereon for analyzing and treating one or more vision disorders, said computer program product comprising: code for causing a display screen to provide visual input to a user; code for receiving response information from the user based on the visual input, the response information indicating a cutoff spatial frequency of a contrast sensitivity of the user; code for selecting a training regimen based on the received response information, the training regimen including Perceptual Template Model (PTM) analysis of interactions with the user; and code for administering the selected training regimen.
20170366853
15696169
0
1. A method comprising: configuring a computer system including at least one memory and at least one processor to perform steps of: selecting a multimedia program for presentation, the multimedia program having a plurality of segments; classifying the plurality of segments according to associated content; generating and populating a data entry database via respective data entry templates retrieved based on the classification of the plurality of segments; generating a data stream via the data entry database, wherein a timing of the data stream is configured to coincide with a timing of the plurality of segments upon presentation by a multimedia system; generating at least one query grammar, wherein the at least one query grammar interprets commands to access content in the data stream; simultaneously transmitting the content associated with at least one of the plurality of segments, one or more of the at least one query grammar, and the data stream to the multimedia system; and determining whether a detected input query is a valid input according to the at least one query grammar.
20060222195
11375103
0
1. A system for measuring acoustic properties of a vent in a hearing aid, and comprising: a microphone converting ambient sound pressure to an electric sound signal; a signal processing unit connected to said microphone and adapted to process said electric sound signal and to generate a processed electric sound signal; and a speaker for converting said processed electric sound signal to a processed sound pressure; and wherein said system further comprising determining means adapted to determine said acoustic properties by measuring the acoustic feedback from said speaker to said microphone.
9830376
14084890
1
1. A system, comprising: a data source stored in a memory having one or more records categorized using language tags as metadata attributes; a processor unit; and logic executable by the processor unit to: access a standardized language tag repository to identify changes in repository language tags; search the records of the data source to identify language tags present in the records of the data source; analyze the records of the data source to determine whether the language tags present in the records of the data source are inconsistent with the repository language tags; responsive to determining that the language tags present in the records of the data source are inconsistent with the repository language tags, determine a language tag update policy for the data source; responsive to determining that the language tag update policy indicates preserving an integrity of a first set of the records of the data source, create a reference metadata based on the repository language tags; link the reference metadata to the respective first set of records having inconsistent language tag metadata attributes while maintaining the first set of data records intact with the inconsistent language tag metadata attributes; and perform a language tag update process for a second set of the records having inconsistent language tag metadata attributes according to the language tag update policy to replace the inconsistent language tag metadata attributes with language tag metadata attributes based on the repository language tags.
20140136189
14155235
0
1. A method for creating a recognition grammar for use with an interactive user interface to human readable text data that is also machine readable, the interactive user interface being responsive to spoken input, the method comprising the steps of: formulating an expression representing a part of the text data for each of one or more parts of the text data, wherein each formulated expression can be constructed as one or more combinations of one or more phrases in a phrase thesaurus; and automatically using the phrase thesaurus to construct one or more equivalent expressions of one or more formulated expressions, wherein the recognition grammar comprises the collection of all of the expressions.
20130070935
13621432
0
1. A system, comprising: a sensor component including acoustic sensors configured to detect sound and generate, based on the sound, first sound information associated with a first sensor of the acoustic sensors and second sound information associated with a second sensor of the acoustic sensors; and an audio processing component configured to: generate filtered sound information based on the first sound information, the second sound information, and a spatial filter associated with the acoustic sensors; determine noise levels for the first sound information, the second sound information, and the filtered sound information; and generate output sound information based on a selection of one of the noise levels or a weighted combination of the noise levels.
9852379
14640955
1
1. A computer-implemented method of generating a model for predicting whether a content word is being used figuratively, comprising: accessing, with a processing system, a plurality of training texts, each training text including content words, and each content word having a corresponding annotation indicating whether the content word is being used figuratively in the associated training text; accessing, with the processing system, a plurality of topic models generated from a first corpus; for each content word in the plurality of training texts, assigning, with the processing system, a plurality of topic-model feature scores to the content word, each topic-model feature score being associated with one of the plurality of topic models and determined based on: determining, with the processing system, a first probability of the content word being used in a topic represented by the topic model; determining, with the processing system, a second probability of the content word being used in a second corpus; and computing, with the processing system, the topic-model feature score using the first probability and the second probability; and generating, with the processing system, a prediction model for predicting whether a content word is being used figuratively, the generating being based on at least one of the plurality of topic-model feature scores and the annotations.
4662847
06803129
1
1. An electronic device for the treatment of stuttering comprising a microphone for generating speech signals corresponding to the speech of a user of the device, at least one earphone, a first synchronous voice path circuit for normally transmitting synchronous speech signals from said microphone to said earphone, a second delayed voice path circuit for transmitting delayed speech signals from said microphone to said earphone, and voice actuated switch means for switching between said synchronous voice path and said delayed voice path based upon characteristics of the speech of the user on a continuous basis.
8543396
13621179
1
1. A computer-implemented method, the computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, receiving audio data comprising speech; transcribing the speech, using a speech recognition engine, to generate a transcription comprising first text; determining a metric associated with the first text; selecting, based at least in part on the metric, an indicator of the metric; and causing presentation of the first text using the indicator of the metric.
20140257794
13793854
0
1. A human-machine dialogue system having a plurality of computer-implemented dialogue components comprising: a user client for delivering output prompts to a human user and receiving dialogue inputs from the human user including speech inputs; an automatic speech recognition (ASR) engine in communication with the user client for processing the speech inputs to determine corresponding sequences of representative text words; a natural language understanding (NLU) engine in communication with the ASR engine for processing the text words to determine corresponding NLU-ranked semantic interpretations; a semantic re-ranking module in communication with the NLU engine for re-ranking the NLU-ranked semantic interpretations based on at least one of dialogue context information and world knowledge information; and a dialogue manager in communication with the user client and the semantic re-ranking module for responding to the re-ranked semantic interpretations and generating the output prompts so as to manage a dialogue process with the human user.
9858928
15422556
1
1. A method comprising: transmitting, by a computing device and to a remote server, a verbal input; receiving, by the computing device and from the remote server, a digital message that comprises a symbolic representation of the verbal input; determining, based on the symbolic representation of the verbal input, an application identifier for an application that is indicated by the symbolic representation of the verbal input; launching, by the computing device and using the application identifier, the application that is indicated by the symbolic representation of the verbal input; transmitting, using the application and to an information provider, a query that was generated based on the symbolic representation of the verbal input; obtaining, by the computing device and from the information provider as a response to the query, an information result; and presenting, through an application interface of the computing device, the information result.
9736318
14856428
1
1. A computer-implemented method, comprising: creating, responsive to determining to transition a voice call from voice communications over a voice network to streamed text over a packetized data network, a voice conversation correlation identifier that identifies the voice call and specifies incoming and outgoing streamed text data as part of the voice call; converting additional outgoing speech spoken by a user associated with the voice call to streamed text data; sending the streamed text data identified by the voice conversation correlation identifier within an outgoing text stream over the packetized data network; receiving streamed response text data identified by the voice conversation correlation identifier within an incoming text stream over the packetized data network; and converting the received streamed response text data within the incoming text stream to speech output as part of the voice call; where receiving the streamed response text data identified by the voice conversation correlation identifier within the incoming text stream over the packetized data network comprises one of: receiving text advertisement content within the received streamed response text data within the incoming text stream associated with a subject matter of the voice call and rendering the text advertisement content during the voice call; or receiving text represented in a different language from a language spoken by the user and performing a language conversion of the text represented in the different language to the language spoken by the user, where the received streamed response text data converted to the speech output comprises the language-converted text.
8693698
12112792
1
1. A mobile computing device, comprising: a speaker to receive a first signal and output a second signal; a first microphone to receive the second signal; a second microphone to receive a third signal; an echo canceller comprising an adaptive algorithm to couple with the first microphone and the second microphone, the echo canceller to compare the second signal and the third signal and generate the adaptive algorithm by passing a result of the comparison through a loop filter, the echo canceller to reduce non-linear distortion in the third signal based on the comparison and by utilizing the adaptive algorithm to enhance a linear echo path model to account for the non-linear distortion, the echo canceller to determine an acoustic echo environment and non-linear distortion created by the speaker by utilizing a known training sequence.
9190055
13828759
1
1. A system comprising: a computer-readable memory storing executable instructions; and one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least: obtain usage data regarding prior usage, by a user, of a natural language processing system; train, based at least partly on the usage data, a personal model for use in named entity recognition, the personal model comprising a conditional random field model; interpolate the personal model and a general model to obtain a composite model, the general model comprising a conditional random field model, wherein interpolation of the personal model and the general model comprises interpolation of an element of the personal model with a corresponding element of the general model; receive audio data regarding an utterance of the user; generate a transcription of the utterance using automatic speech recognition; process, based at least partly on the composite model, the transcription with a named entity recognition module to determine at least one named entity from the transcription; and generate a response based at least partly on the at least one named entity.
8484144
12049911
1
1. A method for moderating connections in a simulated neural circuit in a simulated physical volume, wherein the simulated neural circuit includes a plurality of simulated neurons having input branches that are configured to connect to a plurality of inputs and activate in response to activity in the inputs to which the input branches are connected, and wherein the simulated neurons are configured to activate in response to activity in their input branches, the method comprising: forming, using at least one computer, initial connections between various input branches and various inputs in the simulated physical volume; activating, using the at least one computer, a set of the inputs in the simulated physical volume; and moderating, using the at least one computer, the stability of connections between input branches and inputs based on the activated set of inputs and a pattern of activity generated in the input branches and simulated neurons in response to the activated set of inputs.
20020077822
09818208
0
1. A method for converting text to concatenated voice by utilizing a digital voice library and a set of playback rules, the digital voice library including a plurality of voice recordings with each recording having a starting sonic feature and an ending sonic feature, the method including receiving text data, converting the text data into a sequence of voice recordings in accordance with the digital voice library and the set of playback rules, the method further comprising: generating voice data based on the sequence of voice recordings by concatenating adjacent recordings in the sequence of voice recordings, wherein concatenating a first recording and a second recording adjacent to the first recording includes manipulating the ending sonic feature of the first recording to determine a first recording switch point, manipulating the starting sonic feature of the second recording to determine a second recording switch point, and synchronizing the first recording switch point and the second recording switch point.
7487083
09615945
1
1. A method of discriminating speech from voice-band data in a communication network, comprising: calculating a self similarity ratio value, representing a periodicity characteristic, and an autocorrelation coefficient value, representing a spectral characteristic, for an input signal segment, wherein calculating the self similarity ratio value includes calculating a plurality of different self similarity ratio values and selecting the highest one of the plurality of different self similarity ratio values as the calculated self similarity ratio value; and determining whether said input signal segment is speech or voice-band data based on said at least one of said self similarity value and said autocorrelation coefficient value.
20120251007
13077735
0
1. One or more computer-readable media storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: controlling the one or more processors configured with executable instructions to perform: defining N feature points in a codebook of K words; initializing centers in each of K clusters, the K clusters representing a distribution of the N feature points; repeating a loop, and within the loop, performing: building an index assigning each feature point to a cluster according to an approximate nearest neighbor (ANN) algorithm having random aspects; assigning each feature point to a cluster according to a comparison of an assignment indicated by the index or a previous assignment of that feature point; updating a center of each cluster to reflect the assigning; and terminating the loop upon convergence.
9805721
13624528
1
1. An apparatus comprising; a speaker to output audio; a microphone; a wireless network interface; a processor; and computer-readable media storing computer-executable instructions that, when executed on the processor, cause the processor to perform acts comprising: receiving, via the wireless network interface and from a device that is external to the apparatus, a signal indicating that a user is going to provide a voice command to the microphone of the apparatus; and at least partly in response to receiving the signal from the external device, attenuating the audio and one or more of: (i) analyzing an audio signal generated by the microphone to identify the voice command, or (ii) providing the audio signal to a service that is remote from the apparatus to identify the voice command.
20160328388
14870204
0
1. A method comprising: receiving, by one or more processors, a set of natural language text; generating, by one or more processors, a set of first metadata for the set of natural language text, where the first metadata is generated using supervised learning method(s); generating, by one or more processors, a set of second metadata for the set of natural language text, where the second metadata is generated using unsupervised learning method(s); training, by one or more processors, an artificial neural network adapted to generate vector representations for natural language text, where the training is based, at least in part, on the received natural language text, the generated set of first metadata, and the generated set of second metadata; generating, by one or more processors, a set of at least two vector representations for the set of natural language text using the trained artificial neural network, where each vector representation of the set of at least two vector representations pertains to a respective subset of natural language text from the set of natural language text; and generating, by one or more processors, a vector representation pertaining to the set of natural language text by adding each of the vector representations in the generated set of at least two vector representations.
8433731
12644603
1
1. A method comprising: generating, via a processor, from an input lattice representing a first modality of an input, a first markup-language expression; generating, via a finite-state transducer, a concatenated mapping, wherein the finite-state transducer: uses the input lattice and a first finite-state machine having associated markup-language semantics to relate the first markup-language expression to a second markup-language expression representing a second modality based on a level of coincidence between the first modality and the second modality, to yield a mapping; and concatenates input symbols of the mapping associated with the markup-language semantics, to yield the concatenated mapping; generating, using the input and a second finite-state machine representing the concatenated mapping, a third markup-language expression; and outputting the third markup-language expression.
20070156908
11322915
0
1. A network entity for effectuating a conference session between a plurality of participants at a plurality of remote locations, the network entity comprising: a processing element capable of operating a session manager, wherein the session manager is capable of receiving a plurality of audio measurements representative of audio levels adjacent respective participants of the conference session, at least one of the audio measurements being received from a proximity network including a plurality of participants at one of the remote locations, the audio measurement from the proximity network having been identified to be highest from among the audio measurements of the participants in the proximity network, wherein the session manager is capable of comparing the audio measurements to identify the highest session measurement, the participant associated with the highest session measurement being identified as a speaking participant, and wherein the session manager is capable of transferring the identity of the speaking participant to at least some of the participants of the conference session.
20120041763
13280884
0
1. A method comprising: receiving unconstrained input speech from a user; converting, via a processor, the unconstrained input speech into a string of words; converting the string of words into a sequence of digits using classes of rules and according to an acoustic model database in which Markov models characterize acoustic features of numeric words; comparing the sequence of digits to a plurality of valid sequences of digits, to yield validity information; and providing the validity information to the user.
20120191457
13012740
0
1. A method comprising: comparing an input text to a data set of text fragments to select a corresponding text fragment for at least a portion of the input text, the corresponding text fragment being associated with spoken audio, wherein the corresponding text fragment does not exactly match the at least a portion of the input text because at least one word is present in one of the matching text fragment and the at least a portion of the input text, but not in both; determining an alignment of the corresponding text fragment with the at least a portion of the input text; and using a computer, synthesizing speech from the at least a portion of the input text, wherein the synthesizing comprises extracting prosody from the spoken audio and applying the extracted prosody using the alignment of the corresponding text fragment with the at least a portion of the input text.
5457770
08108791
1
1. An apparatus comprising: a) input means for inputting an utterance by an unspecified person into an electrical signal; b) characteristic extracting means for receiving the electrical signal from the input means and converting the electrical signal into a time series of discrete characteristic multidimensional vectors; c) phoneme recognition means for receiving the time series of discrete characteristic multidimensional vectors and converting each of said vectors into a time series of phoneme discriminating scores calculated thereby; d) a dictionary for pre-storing a reference pattern for each word to be recognized, each reference pattern comprising at least one phoneme label comprising a continuation time length for each phoneme stored in a data base of said dictionary, said continuation time length being uniformly set to a predetermined time length; e) word recognition means for comparing an input time series of phoneme discriminating scores derived from said phoneme recognition means with each reference pattern stored in said dictionary using a predetermined Dynamic Programming technique so that one of the reference patterns having a maximum matching score to the time series of discriminating scores is a result of word recognition; and f) output means for outputting the word based on the result of word recognition using said word recognition means in an encoded form thereof.
20160284350
14671858
0
1. A method for controlling an electronic device in response to speech spoken by a user, the method comprising: receiving an input sound by a sound sensor; detecting the speech spoken by the user in the input sound; determining first characteristics of a first frequency range and second characteristics of a second frequency range of the speech in response to detecting the speech in the input sound; and determining whether a direction of departure of the speech spoken by the user is toward the electronic device based on the first and second characteristics.
20040255249
10494739
0
1. A method of decoding a caption box in video content comprising: determining at least one expected location of a caption box in a frame of the video content; determining at least one caption box mask within the expected location; identifying frames in the video content as caption frames if the current frame exhibits substantial correlation to the at least one caption box mask within the expected caption box location; for at least a portion of the caption frames, identifying word regions within the confines of the expected location; for each word region, identifying text characters within the region; and comparing the text characters in the word region against a domain specific model to enhance word recognition.
4644492
06844232
1
1. An electronic translator, comprising: input means for entering words of a first language; mode input means for selectively entering either a first mode signal or a second mode signal; converting means connected to said input means for converting the words of the first language entered from said input means into words of a second language; and arranging means connected to said converting means and said mode input means, for arranging the words of the second language obtained from said converting means in a first order in response to said first mode signal entered from said mode input means, and for arranging the words of the second language obtained from said converting means in a second order obtained from said converting means in response to said second mode signal entered from said mode input means.
20090123073
11983570
0
1. A microprocessor implemented method of recognizing handwritten, independent symbols and outputting the corresponding Latin derived alphabetic character comprising the steps of: 1. receiving an electronic stylus input comprising a trace path of one or more symbols selected from a first or second set of a universal computer script of a Latin derived alphabet: 2. sequentially timed Cartesian coordinate mapping of the trace path; 3. if the trace path is a dot made within 0.5 seconds from the last trace path, engaging an edit mode of the program; 4. if not a dot, smoothing of the trace path; 5. determining in which quadrant the trace path starts and assigning that start quadrant to that trace path; 6. assigning change points by determination of changes in x direction, y direction, and in both the x and y direction simultaneously and determining an end point of the trace path; 7. summing the number of direction change points start point and an end point; 8. if the sum is two proceeding to step 11; 9. if the sum is three to seven proceeding to step 23; 10. if the sum is greater than seven non assignment of a character and returning to step 1 with a next new stylus input; 11. determining the slope of the line between the start point and the end point, or the start point and the change point, or a change point and a change point or the change point and an end point; 12. determining if the slope of the line is greater than (shallow) or less than (sharp) an assigned first critical angle (or boundary slope); 13. if the slope is sharp proceeding to step 15; 14. if the slope is shallow, based on start quadrant determining if the trace path is short or long and generating a character and return to step 1; 15. if slope is sharp, based on start quadrant determining the concavity or the convexity; 16. determining if the trace path is long or short, and if long, generating a character and returning to step one; 17. if trace path is short assigning a flat value to trace path (high or low concavity); 18. establishing a base three identification number or concatenating the change point name(s) (x, y, z) into an ID name; 19. calculating the slope of the lines between all points; 20. checking the trace path flatness and ID name; 21. if trace-path is flat, generating a character and returning to step 1; 22. if trace path is not flat, assigning a character and returning to step 1; 23. checking the trace path for flatness and assigning an ID name; 24. determining the slope between start point, change points and end point (the important points); 25. querying the number of points, the assigned ID and the start quadrant; 26. checking for flatness and assigning a value; 27. if flat assigning a value, if not flat possible determining output value; 28. if not flat but an output value is generated checking for presence of a calculate symbol and a math mode, calculating a mathematical formula to generate an output value and returning to step 1; 24. if not in math mode, outputting no value and returning to step 1; 25. if unable to generate character and a calculate symbol is not present, testing stroke slope against a first critical angle; 26. if first critical angle is shallow, generating a character if possible and returning to step 1; 27. if unable to assign a character testing a second stroke slope against a second critical angle 28. if first critical angle is sharp testing a second stroke slope against a second critical angle; 29. if identification is possible, assigning a character and returning to step 1; 30. if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step one. 31. if first critical angle is shallow testing a second stroke slope against a second critical angle; 32. if identification is possible, assigning a character and returning to step 1; 33. if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step one. 34. if first critical angle is sharp, generating a character if possible and returning to step 1; 35. if unable to assign a character testing a second stroke slope against a second critical angle 36. if first critical angle is sharp testing a second stroke slope against a second critical angle; 37. if identification is possible, assigning a character and returning to step 1; 38. if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step one. 39. if first critical angle is shallow testing a second stroke slope against a second critical angle; 40. if identification is possible, assigning a character and returning to step 1; 41. if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step one.
9318109
14044802
1
1. A system for updating a partial dialog state, the system configured to: receive user input at a first turn; generate a semantic representation based on the user input at the first turn; generate a partial dialog state based in part on the semantic representation associated with the first turn; receive user input at a second turn; generate the semantic representation based on the user input at the second turn; update the partial dialog state for the second turn using a discriminative model using the semantic representation associated with the first turn and the second turn, wherein the partial dialog state is based on a time ordered sequence of an estimated user goal; and based in part on the partial dialog state, determining a dialog state as part of tracking a user goal.
7580929
10900039
1
1. A method of personalizing a search of a document collection to a user, the method comprising: monitoring a plurality of documents accessed by a user; identifying a plurality of first phrases present in one or more of the accessed documents; for each of the identified first phrases, identifying one or more corresponding first related phrases, wherein the one or more first related phrases are related to the corresponding identified first phrase; storing a user model associated with the user, and comprising a plurality of the first related phrases; receiving a query from the user, the query including one or more second phrases; selecting search results comprising a plurality of documents responsive to the query; identifying, by operation of a processor configured to manipulate data within a computer system, one or more second related phrases that are related to the second phrase(s) of the query and that are present in the user model; weighting a plurality of scores of a corresponding plurality of the search results according to the identified one or more second related phrases; ranking the plurality of the search results for presentation to the user according to their weighted scores, to provide personalized search results; and presenting the personalized search results to the user.
20130121481
13297996
0
1. A method, comprising: displaying, via an interface, a thread of messaging content; receiving a visual voicemail; and integrating a display of the visual voicemail within the thread of messaging content.
20060035632
10919020
0
1. A method for presenting relevant contact identifiers for selection by a user of a communication device, comprising: monitoring one or more communication attributes of previous communication events involving the communication device; establishing selection criteria based on the monitored communication attributes; maintaining one or more sets of selectable contact identifiers corresponding to contacts that are affiliated with the communication events that satisfy the selection criteria; and presenting at least one of the sets of selectable contact identifiers to the user via the communication device.
20050149620
10752804
0
1. A method for communication between a plurality of devices remotely connected via a network, comprising: within an existing instant messaging session on a first user device associated with a first user, responsive to user input, initiating a new topic session; within the existing instant messaging session on the first user device, responsive to user input on the first user device, selectively causing the new topic session to be replicated on secondary user devices associated with the first user; and providing a user interface on the first user device which is capable of distinguishing between data intended for the existing and new sessions.
7977560
12345193
1
1. A method for automated generation of a song for process learning, the method comprising: loading from fixed storage a process description for transformation into a song intended to facilitate learning of the process by a target listener; defining lyrical segments for the process description; specifying a characterization of the target listener; defining a subset of melodies consonant with the characterization; determining a syllabic profile for at least one of the lyrical segments; selecting a particular melody from the defined subset of melodies stored in the fixed storage matching the syllabic profile; mapping the defined lyrical segments to musical phrases in the particular melody; and, merging pre-recorded audio segments corresponding to the defined lyrical segments with the musical phrases in the particular melody according to the mapping to generate the song.
20020085092
09916210
0
1. An object activity modeling method comprising the steps of: (a) obtaining an optical flow vector from a video sequence; (b) obtaining the probability distribution of the feature vector for a plurality of video frames, using the optical flow vector; (c) modeling states, using the probability distribution of the feature vector; and (d) expressing the activity of the object in the video sequence based on state transition.
20160253989
14634714
0
1. A system for diagnosing speech recognition errors, comprising: an error detection module configured to determine that a speech recognition result is at least partially erroneous; and a recognition error diagnostics module configured to: perform a first error analysis of the at least partially erroneous speech recognition result to provide a first error analysis result; perform a second error analysis of the at least partially erroneous speech recognition result to provide a second error analysis result; and determine at least one category of recognition error associated with the at least partially erroneous speech recognition result based on a combination of the first error analysis result and the second error analysis result.
8881065
11160903
1
1. A method, comprising: detecting, using a processor, entry into a full-screen mode of a user application, wherein the user application is to be displayed in a plurality of display spaces over a network, wherein a display space comprises a substantial portion of the viewing area of a display or all of the viewing area of the display; identifying, by the processor, an additional application over the network, the additional application to generate an action that interrupts the full-screen mode of the user application in the plurality of display spaces, wherein the action that interrupts the full-screen mode of the user application comprises a display action in a display space; generating, by the processor, a message comprising instructions tailored to the additional application to cause the application to disable the action that interrupts the full-screen mode of the user application in all of the plurality of display spaces except for a display space selected to be viewed by the user, wherein the disabling prevents the action from occurring for at least a duration of the full-screen mode of the user application; transmitting, by the processor over the network, the message to the additional application to cause the additional application to disable the action in all of the plurality of display spaces except for the display space selected to be viewed by the user; and when the full-screen mode ends, transmitting an end message to the additional application, the end message comprising instructions tailored to the additional application to cause the additional application to enable the action that was disabled.
20040018477
10353896
0
1. (original): An interactive method, including the steps of: selecting a statement from a list of prepared statements; observing facial expressions of a simulated person in a video presentation; observing body language of said simulated person in said video presentation; listening to an audio response by said simulated person; and selecting a statement from a list of prepared statements in response to said observed facial expressions, body language and audio response.
20090006363
11770413
0
1. A method of targeting comprising: receiving a plurality of granular events; preprocessing the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events; generating a predictive model by using the preprocessed data, the predictive model for determining a likelihood of a user action; and training the predictive model.
20130238325
13862170
0
1. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving geotagged audio signals that correspond to environmental audio recorded by multiple mobile devices in multiple geographic locations, receiving an audio signal that corresponds to an utterance recorded by a particular mobile device, determining a particular geographic location associated with the particular mobile device, generating a noise model for the particular geographic location using a subset of the geotagged audio signals, and performing noise compensation on the audio signal that corresponds to the utterance using the noise model that has been generated for the particular geographic location.
7977562
12142814
1
1. A method for creating a synthesized singing voice waveform, comprising: receiving a request to create the synthesized singing voice waveform; receiving lyrics of a song and a digital melody file for the lyrics; determining a sequence of contextual parametric models that corresponds to sub-phonemic units of the received lyrics; determining a sequence of notes from the received digital melody; determining a duration time for each of the notes from the received digital melody; generating a sequence of line spectral pair coefficients from the sequence of contextual parametric models and from the duration times; and synthesizing the synthesized singing voice waveform based on linear predictive coding of the sequence of line spectral pair coefficients and the sequence of notes.
20140014044
13938858
0
1. A retrieving dummy comprising: a dummy body configured to resemble an antler, wherein the dummy body is formed of a material other than natural antler material, and wherein the dummy body comprises a base and a main beam extending from the base; a scent carrier carried by the dummy body and formed of a material different from that of the dummy body, wherein the scent carrier emits an antler scent such that the retrieving dummy is detectable by smelling activity of a dog, wherein the scent carrier is made from at least one of a crushed natural antler component, a pulverized natural antler component, and a powdered natural antler component such that the antler scent corresponds to a scent of an antler that is naturally grown by an antler bearing animal.
8126099
11673045
1
1. Apparatus for a receive circuit that receives a receive sequence having noise, said apparatus comprising: a noise estimator adapted to receive the receive sequence and to determine an estimated value of the noise present in the receive sequence, said estimated value determined by subtracting a remodulated training sequence from the received sequence; a noise autocorrelation estimator adapted to receive said estimated value, calculate a first autocorrelation function based upon said estimated value, and determine an absolute value of said first autocorrelation function as an autocorrelation estimate; and a filter characteristic selector adapted to receive said autocorrelation estimate from said autocorrelation estimator, to compare said autocorrelation estimate to a threshold autocorrelation value, and to select a filter characteristic for a filter in response to the comparison, wherein said filter characteristic selector is adapted to select a unitary-filter characteristic in which whitening noise is not added upon a determination that said autocorrelation estimate is below said threshold autocorrelation value and adapted to select one non-unitary filter characteristic in which whitening noise is added upon a determination that said autocorrelation estimate is above said threshold autocorrelation value.
20080188271
12012968
0
1. A communicating road noise control system having an in-vehicle road noise controller and a server communicating with each other via a communication network, the in-vehicle road noise controller comprising: voice inputting means disposed in a compartment of the vehicle for inputting a voice frequency signal; a voice outputting means disposed in the vehicle compartment for outputting a received signal; a voice relaying means for outputting, as a transmit signal, the voice frequency signal inputted from the voice inputting means to a telephone means and for outputting the received signal from the telephone means to the voice outputting means; a present position detection and transmission instructing means for causing an external device to detect the present position of the vehicle and to transmit the present position to the server; a noise spectrum pattern receiving means for receiving a noise spectrum pattern from the server; and a road noise reducing means for reducing road noise based on the noise spectrum pattern received by the noise spectrum pattern receiving means, the server comprising: a present position receiving means for receiving the present position of the vehicle from the external device; a noise spectrum pattern determining means for determining the noise spectrum pattern corresponding to the road surface on which the vehicle is presently running based on the present position of the vehicle received by the present position receiving means and road information stored in a map data storing means; a noise spectrum pattern outputting means for storing a plurality of different noise spectrum patterns in correspondence with a plurality of different road surfaces and for selecting the noise spectrum pattern determined by the noise spectrum pattern determining means from among the plurality of different noise spectrum patterns and outputting the noise spectrum pattern; and a noise spectrum pattern transmitting means for transmitting the noise spectrum pattern outputted from the noise spectrum pattern outputting means to the in-vehicle road noise controller.
8725567
11427761
1
1. A computer-implemented system that facilitates presentation of targeted advertisements to an individual, comprising: a sensor component of a retail establishment that collects sensor information associated with a specific individual proximate to a presentation system; a customer component that analyzes the sensor information and generates a profile about the specific individual, the customer component further comprising: an inference component that makes an inference about the specific individual based on some or all of the sensor information collected by the sensor component of the retail establishment as part of generating the profile; and a storage component that stores historical data of the specific individual and transaction data associated with transactions conducted by the specific individual; and an advertisement component that facilitates dynamic presentation of a targeted advertisement to the specific individual as a function of the profile.
8433558
11188825
1
1. A method comprising: developing, via a processor, a statistical model for a natural language understanding application using human knowledge exclusive of any annotated data; during a first execution of the natural language understanding application via the processor: receiving a sequence of words to yield a received sequence of words; assigning a sequence of tags to the received sequence of words by using the statistical model, to yield annotated words; and when sufficient annotated words become available, updating the statistical model; developing a replacement statistical model for the natural language understanding application using the annotated words by: developing a first part of the replacement model without the human knowledge; developing a second part of the replacement model from both the human knowledge and the annotated words; and when the received and subsequently annotated data is sufficient, weighting a contribution from the first part more to the assigning than when the received and subsequently annotated data is insufficient; and during a second execution of the natural language understanding application, receiving a second sequence of words and assigning a second sequence of tags to the second sequence of words by using the replacement statistical model.
8510285
13212793
1
1. A computer-implemented method comprising: detecting an occurrence of a pre-search trigger, the pre-search trigger corresponding to a user action to gain access to a search interface at a particular time; identifying a user associated with the pre-search trigger; identifying a topic classified as a likely topic of interest for the identified user based on a browsing history of the identified user or a search query history of the identified user; in response to detecting the occurrence of the pre-search trigger, determining a confidence score associated with the topic based on the particular time of the user action, the confidence score indicating a likelihood that the topic is of interest to the identified user at the particular time determining that the confidence score associated with the topic satisfies a predetermined threshold value; instructing a search engine to execute a search using a search query associated with the particular topic in response to determining that the confidence score associated with the particular topic satisfies the predetermined threshold value; and providing a representation of a resource identified in results received in response to the search.
7729786
11535408
1
1. An industrial controller comprising: a processor; a memory that comprises logic code executable by the processor, the memory further comprises documentation associated with the logic code, the documentation including at least one of a memory address comment, a ladder logic rung comment, or a text box associated with a sequential function chart and with the logic code represents an up-to-date copy of a project file; the documentation is stored in a native form to enable individualized access to a portion of the documentation to an accessing entity; and a change log generator component that monitors when the documentation is altered, and creates a change log that describes alterations made to the documentation.
20110191096
12697047
0
1. A method of generating a statistical machine translation database through a game, the method comprising: retrieving from memory and providing to a plurality of players a monolingual structure; receiving a first translation attempt from each of the plurality of players; comparing, using a processor, the first translation attempts from each of the plurality of players; providing feedback to each of the plurality of players; and receiving and comparing attempts and providing feedback to iteratively converge subsequent translations from each of the plurality of players into a final translated structure.
20100081120
12240064
0
1. An apparatus comprising: a memory; and a processor in communication with the memory, the processor operable to: receive metadata, the metadata including a plurality of event descriptors, wherein the metadata is associated with content and each of the event descriptors describes an event included in the content; and generate a question based on at least one of the event descriptors.
20050075859
10679556
0
1. A method of identifying a semantic structure from a text, the method comprising: identifying semantic entities from the text; combining semantic entities to form at least two candidate semantic structures; generating a semantic score for each candidate semantic structure based on the likelihood of the semantic structures; generating a syntactic score for each candidate semantic structure based in part on the position of a word in the text and the position in the semantic structure of a semantic entity formed from the word; and combining the syntactic score and the semantic score for each semantic structure to select one of the candidate semantic structures for at least a portion of the text.
20120105257
12917331
0
1. In a computing environment, a method performed at least in part on at least one processor, comprising, receiving sets of input data corresponding to a plurality of input modalities, determining that a first set of input data is related to a second set of input data, and using the second set of input data to interpret an intent of the first set of input data.
8630845
13599309
1
1. A system for generating snippet for review on the Internet, the system comprising: a memory having computer readable computer instructions; and a processor for executing the computer readable instructions to perform a method comprising: a receiving instruction configured to receive a review and a set of feedbacks corresponding to said review, wherein said review comprises a plurality of evaluating sentences that evaluates product features of a product; a support degree calculating instruction configured to calculate support degrees of each of said plurality of evaluating sentences in the review, the support degrees calculated based on an evaluation of the set of feedbacks corresponding to the review; and a snippet generating instruction configured to: (1) extract, by relying on calculated support degrees of each of said evaluating sentences, at least one of said evaluating sentences from said plurality of evaluating sentences; and (2) designate extracted evaluating sentence as a snippet of said review.
20090273659
12341285
0
1. A mobile terminal comprising: an input unit configured to receive an instruction from a first user to perform a video call communication with at least a second user; a display unit; a voice recognition module configured to recognize input voice statements conducted during the video call communication between the first and second users; and a controller configured to perform the video call communication between the first and second users based on the instruction from the first user, to control the display unit to display images of the first and second users, to detect a voice statement from the first user designating the second user by examining the voice statements recognized by the voice recognition module, and to emphatically display the image of the second user compared with the image of the first user based on the detected voice statement from the first user.
20050075887
10680392
0
1. A method for training acoustic models for a target language comprising the steps of: a) providing a phonetic table of a reference, which characterizes the phones used in one or more reference languages with respect to their articulatory properties; b) providing a phonetic table of a target language, which characterizes the phones used in the target language with respect to their articulatory properties; c) providing a set of trained monophones for each reference language; d) providing a database of utterances in the target language and phonetic transcription of the utterances in the database; and e) processing using table correspondence processing methods and phonetic model seeding.
9443035
14035831
1
1. A method for suggesting search query completions for a language having ideographs and phonetic characters, comprising: on a search engine having one or more processors and memory storing programs executed by the one or more processors: receiving a partial search query from a search requestor, the partial search query comprising one or more ideographs followed by at least one phonetic character that forms an incomplete phonetic sequence consistent with a first ideograph distinct from the one or more ideographs, and the partial search query comprises a portion of a complete search query, wherein the one or more ideographs of the partial search query include one or more Asian language ideographs, and the first ideograph corresponding to the at least one phonetic character comprises a respective Asian language ideograph; and automatically, in response to receiving the partial search query from the search requestor, prior to the search requestor signaling completion of a search query, and prior to the search requester entering any text beyond the one or more ideographs followed by at least one phonetic character: in accordance with both the one or more ideographs and the at least one phonetic character, obtaining a set of predicted complete search queries corresponding to the partial search query from search queries submitted by a community of users, the set of predicted complete search queries ordered in accordance with a ranking criteria, including the search engine making a prediction of the first ideograph, based on the at least one phonetic character, and obtaining the set of predicted complete search queries corresponding to the one or more ideographs in the partial search query and the predicted first ideograph; and conveying the set of ordered predicted search queries to the search requestor; wherein each search query of the set of the predicted complete search queries includes both the one or more Asian language ideographs of the partial search query and the respective Asian language ideograph consistent with the incomplete phonetic sequence.
20050114122
10951291
0
1. A method for customizing the input and output of a speech recognition engine, the method comprising the steps of: collecting data having a predetermined format; displaying the data to a user for review; categorizing the data according to user specified data rules; outputting the categorized data to a language model; determining final report formats according to said user specified format rules; determining a level of logging information; and outputting the final report formats and the level of logging information to a post processor.
20170236430
15223050
0
1. An educational toy simulator for teaching a language, said simulator comprising: a base member formed of one or more layers; at least one peg piece; at least one cut out formed in said base member for receiving said peg piece; at least one slot formed in said base member; an image display member displaying at least one picture, wherein said slot is shaped to slidably receive said image display member for displaying said picture through said cut out.
20020076207
10060222
0
1. An information storage medium which has a management area and a data area, said data area having data recorded therein in such a manner that the data is separated into one or more sequences, each sequence composed of one or more programs corresponding to one or more cells, said management area including a sequence management table for managing program sequences by determining an order of playback of said cells, and including a program management table for managing said programs, wherein first text information expressed in alphanumeric characters is recorded in said program management table, and second text information is recorded in the same language as or a different language from that of said first text information into a specific area which is different from a recording area of said program management table in said management area.
20050278325
11075625
0
1. A method of processing at least one natural language text using a graph, comprising: determining a plurality of text units based upon the natural language text; associating the plurality of text units with a plurality of graph nodes; determining at least one connecting relation between at least two of the plurality of text units; associating the at least one connecting relation with at least one graph edge connecting at least two of the plurality of graph nodes; and determining at least one ranking based on at least one of the plurality of graph nodes and the at least one graph edge.
8428948
12839764
1
1. A system comprising: (a) a database storing a plurality of records; (b) a computer readable medium storing data comprising a dictionary list comprising a plurality of word groups identified as corresponding to an invented part of speech; (c) a computer configured via a set of data to perform a set of tasks comprising: (i) receiving an input string, the input string comprising a plurality of words comprising an input word group corresponding to the invented part of speech; (ii) calculating a set of part of speech scores for the input string wherein calculating the set of part of speech scores comprises, for each word group from a set of word groups from the dictionary list, calculating a measure of similarity between: (1) the input word group corresponding to the invented part of speech; and (2) the word group from the set of word groups from the dictionary list for which the part of speech score is being calculated; (iii) determining a result set comprising a set of records retrieved from the database, wherein each record from the result set comprises an identifying word group corresponding to the invented part of speech; and (iv) for each record in a subset of records from the result set, determining a match score based on a relevant part of speech score from the previously calculated set of part of speech scores, wherein the relevant part of speech score corresponds to the identifying word group from the record in the subset of records for which the match score is being determined; and wherein the cardinality of the subset of records is less than or equal to the cardinality of the set of records from the result set; wherein: (A) each record from the plurality of records stored in the database corresponds to a class from a plurality of classes; (B) the data stored on the computer readable medium further comprises a class probability index, wherein the class probability index comprises, for each class in a subset of the plurality of classes: (i) general probability data that words appear in records corresponding to the class; and (ii) specialized probability data that word groups in the dictionary list are used as the invented part of speech in records corresponding to the class; (C) calculating a set of class scores for the input string, wherein the set of class scores comprises, for each class from the subset of the plurality of classes, a probability that the input string corresponds to that class; (D) each record from the result set corresponds to a class from the subset of the plurality of classes; and (E) the match score for each record from the subset of records from the result set is further based on a relevant class score from the previously calculated set of class scores, wherein the relevant class score corresponds to the class corresponding to the record from the subset of records for which the match score is being determined; wherein the cardinality of the subset of the plurality of classes is less than or equal to the cardinality of the plurality of classes.
8504373
12496873
1
1. In a digital video recorder (DVR) system, a method comprising: a processor recording control phrases for subsequent comparison with phrases uttered by a viewer; the processor creating a set of governing rules; the processor comparing the phrases uttered by the viewer with the recorded control phrases; the processor identifying a match between the phrases uttered by the viewer and the recorded control phrases, wherein the match comprises a match phrase; and in response to identification of the match: (a) the processor designating said match phrase as user feedback; (b) the processor updating user feedback data; and (c) the processor automatically modifying program recording patterns based on user feedback; wherein said governing rules include elimination of future recording only if further specific matches are identified or if particular results are obtained following an application of one or more filters; and wherein said governing rules further include initiation of a confirmation procedure at a pre-specified interval including an interval at a completion of a program that is viewed current to detection of recognized phrases.
9721571
14738891
1
1. A computer implemented method of generating a text-dependent voice print for an individual by passive enrollment using a not predetermined repeated phrase to enroll the individual in a system, the method comprising: receiving, based on identification information of the individual from an audio server, audio data of past communication sessions involving the individual: searching, by a speech analytics server, the audio data of the past communication sessions that include speech by the individual for the not predetermined repeated phrase that is uttered more than at least three times; when the not predetermined repeated phrase is uttered more than three times, locating at least a predetermined number of utterances of said not predetermined repeated phrase in the audio data of the past communication sessions, said predetermined number being more than three times and when not found, reporting by the speech analytics server to an enrollment unit that the enrollment of the individual has failed; determining whether the repeated phrase contains more than three words and when not, reporting by the speech analytics to the enrollment unit that the enrollment of the individual has failed; when the repeated phrase contains more than three words, creating a separate audio file for each utterance of the repeated phrase; generating, by a voice biometric server, the text-dependent voice print for the individual based on the audio files containing located utterances of the repeated phrase; and storing the text-dependent voice print in association with the identification information of the individual.
9590580
14852576
1
1. A system for loudness-based audio-signal compensation, comprising: (a) an input line that accepts an input audio signal; (b) a loudness estimator, coupled to the input line, that processes the input audio signal to obtain an audio playback loudness level and that also provides a production loudness level for the input audio signal; (c) a filter generator/selector coupled to an output of the loudness estimator that provides an audio compensation filter based on the production loudness level and the audio playback loudness level, wherein the input signal is processed by the audio compensation filter to provide an output signal, and wherein when the loudness estimator obtains at least one of a new audio playback loudness level or a new production loudness level for the input audio signal, the filter generator/selector provides a new audio compensation filter which is then used to process the input signal in order to provide the output signal.
20120197863
13357171
0
1. A method comprising: extracting a plurality of skill seed phrases from a plurality of member profiles of a social networking service; using one or more computer processors, disambiguating the plurality of skill seed phrases to create a plurality of disambiguated skill seed phrases; and de-duplicating the plurality of disambiguated skill seed phrases to create a plurality of de-duplicated skill seed phrases, the de-duplicated skill seed phrases identifying a plurality of skills.
20120084310
12897642
0
1. A method comprising: while a search query is being formulated on a local device, displaying a set of one or more quick-picks that were selected to be quick-picks based, at least in part, on a current context associated with the local device; receiving user input that selects a particular quick-pick from the set of quick-picks; and in response to the user input, augmenting the search query that is being formulated with a particular search criteria item that corresponds to the particular quick-pick; wherein the method is performed by one or more computing devices.
20070176744
10551344
0
1. A mobile communication terminal that receives information received from a contactless communication tag, the mobile communication terminal comprising: a first communication unit, which wirelessly exchanges data with the contactless communication tag and wirelessly sends a power required for the contactless communication tag; a second communication unit, which transmits data to and receives data from a service management server via a wireless communication network; a storing unit in which at least one encryption key related information are stored; a decryption unit, which decrypts data received from the contactless communication tag based on encryption key related information that is selected from the encryption key related information by encryption key specifying information received from the contactless communication tag; an information reading unit, which requests product information to the contactless communication tag attached to a product and reads the product information received from the contactless communication tag; and an output unit, which outputs the read product information.
20150095037
14322429
0
1. A vehicular device for performing dialogs with a vehicular driver, comprising: a communication portion which communicates with a server; an output portion which outputs speech information to the driver; an input portion which inputting information based on speech uttered by the driver; and a controller which controls the communication portion, the output portion, and the input portion; wherein, when trigger information for starting a dialog process is generated in the vehicular device or in the server, the controller receives information indicative of the type of a first dialog forming a starting point of the dialog process and information indicative of the type of a second dialog forming an ending point of the dialog process from the server and carries out the dialog process based on the received information, the type of the second dialog being different from the type of the first dialog.
8862467
14132882
1
1. A computer-implemented method comprising: receiving, by a computer system, a first request to transcribe spoken input from a user of a computing device, the first request including (i) information that characterizes a first spoken input, and (ii) first context information associated with the user or the computing device; determining, based on the information that characterizes the first spoken input, multiple hypotheses that each represents a possible textual transcription of the first spoken input; selecting, based on the first context information, one or more of the multiple hypotheses for the first spoken input as one or more likely intended hypotheses for the first spoken input; sending the one or more likely intended hypotheses for the first spoken input to the computing device; and in conjunction with sending the one or more likely intended hypotheses for the first spoken input to the computing device, deleting, by the computer system, the first context information.
20030158732
10204034
0
1. A method, comprising: detecting an existence of speech in an input signal; and removing a prompt echo from the input signal using spectrum subtraction.
20050192804
10890205
0
1. An interactive control system that can interact with a plurality of interactive agents, comprising: an input portion that interprets input information input by a user, based on a recognition lexicon that has been generated in advance; a recognition lexicon generation portion that obtains terms accepted by interactive agents from a group of interactive agents performing a response to a result of said interpretation, regenerates the recognition lexicon by consolidating the accepted terms of each of the interactive agents by excluding duplicate terms from the accepted terms of the interactive agents, generates consolidated and reorganized information associating identifiers of two or more conflicting interactive agents, which accept duplicate terms among the accepted terms of the interactive agents, with those terms, and performs, for each interaction, the obtaining of the accepted terms of the interactive agents, as well as the generation of the recognized lexicon and the consolidated and reorganized information; an input interpretation portion that judges, based on the consolidated and reorganized information and the result of interpreting the input information with the input portion, whether there are interactive agents causing a conflict regarding the input information, that selects one of the interactive agents in accordance with a predetermined criterion or the consolidated and reorganized information, and that assigns the input information to the selected interactive agent; and a response output generation portion that obtains from the selected interactive agent a response corresponding to the interpretation result of the input information, and generates response output data.
20140172410
14014467
0
1. A computer, comprising: at least one processor; and a storage system that stores one or more programs, when executed by the at least one processor, cause the at least one processor to perform a translation method, the method comprising: obtaining a word from a word list stored in a database connected to the computer; searching for position codes corresponding to the obtained word in a file; determining if the position codes corresponding to the obtained word overlap with the position codes corresponding to other words, wherein a character length of each other word is longer than the character length of the obtained word; deleting overlapped position codes from the position codes corresponding to the obtained word, in response to a determination that the position codes corresponding to the obtained word overlaps with the position codes corresponding to other words; saving remaining position codes corresponding to the obtained word into the word list; and converting the file between simplified Chinese and traditional Chinese according to the position codes of each word in the word list, in response to a determination that all of the words in the word list have been obtained.
9189482
13672064
1
1. A method for comparing documents, the method comprising: associating, by a processor, a respective weight with each of a plurality of information types including text-based information, graphical information, audio information, or video information; identifying for each of the documents, by the processor, one or more segments each corresponding to one of the plurality of information types; and estimating, by the processor, a similarity value between a first document of the documents and a second document of the documents by comparing each segment of the first document with a segment of the second document that corresponds to a same information type and combining results of the comparison based on the respective associated weights.
20020136533
10060320
0
1. An information storage medium which has a management area and a data area, said data area having data recorded therein in such a manner that the data is separated into one or more sequences, each sequence composed of one or more programs corresponding to one or more cells, said management area including a sequence management table for managing program sequence by determining an order of playback of said cells, and including a program management table for managing said programs, wherein first text information expressed in alphanumeric characters is recorded in said program management table, and second text information is recorded in the same language as or a different language from that of said first text information into a specific area which is different from a recording area of said program management table in said management area.
9047563
14145224
1
1. A method comprising: identifying, by one or more devices, one or more particular topics based on one or more particular documents; identifying, by the one or more devices, one or more portions, of a target document, that correspond to a particular topic of the one or more particular topics; determining, by the one or more devices, a measure of credibility of the target document based on the one or more portions that correspond to the particular topic; receiving, by the one or more devices, information regarding a selection of a sentiment score that affects the measure of credibility of the target document; and providing, by the one or more devices and for display, at least one particular portion, of the one or more portions of the target document, corresponding to the sentiment score based on the selection of the sentiment score.
20070050182
11212962
0
1. A system comprising: a computer comprising a processor and memory device operably connected to one another; a source text stored within the memory device and corresponding to a first language; a target text stored within the memory device and comprising a translation of the source text in a second language, distinct from the first language; and a plurality of executables stored on the memory device and configured to, when executed by the processor, independently identify a test sample comprising one or more blocks, each block comprising a matched set having a source portion selected from the source text and a corresponding target portion selected from the target text.
20070288242
11451217
0
1. A speech activated control system for controlling aerial vehicle components, comprising: a host processor having memory and positioned in communication with a database for storing speech recognition models; and speech actuated command program product at least partially stored in the memory of the host processor and including instructions that when executed by the host processor perform the operations of: forming a digitized user-speech template, thresholding bins of equalized portions of the digitized user-speech template representing a command annunciation to remove noise from within and around speech formants of the sampled speech data, developing a set of feature vectors representing energy of a frequency content of the digitized user-speech template to thereby determine a unique pattern identifying the command annunciation, applying a speech recognition engine to the set of feature vectors to form at least one speech recognition model associated with the command annunciation, associating an index with the at least one speech recognition model associated with the command annunciation, and storing the at least one speech recognition model and the associated index.
20040257449
10802912
0
1. A digital camera apparatus comprises a recorder for recording a plurality of informative data of items, as an information file, to be used in classifying and arranging image data, a microphone for inputting voices, a voice decipher for deciphering a content of expression made by said voices picked up through the microphone, an item informative data extractor for extracting an informative datum of an item which informative datum is analogous to the deciphered content of the expression from the information file, and an item informative data recorder for recording the informative datum of the item extracted by the extractor into an Exif file for the image data.
20050065795
10914169
0
1. A voice synthesis method for synthesizing a voice waveform to continuously change a feature of synthetic voice of a range assigned a predetermined identifier included in input text upon outputting synthetic voice corresponding to the text, comprising: a setting step of setting a desired range of text to be output, in which the feature of synthetic voice is to be continuously changed, using a predetermined identifier including attribute information that represents a change mode of the feature of synthetic voice; a recognition step of recognizing the predetermined identifier and a type of attribute information contained in the predetermined identifier from the text with the identifier, which is set in said setting step; and a voice synthesis step of synthesizing a voice waveform, whose feature of synthetic voice continuously changes, in accordance with the attribute information contained in the predetermined identifier, by interpolating synthetic voice corresponding to text within the desired range of the text with the identifier in accordance with a recognition result in said recognition step.
8730177
11830766
1
1. A method of determining input events of a computing system having a touch sensing surface, the method comprising: tracking multiple distinguishable contacts, the contacts corresponding to touch devices concurrently on or near the surface, wherein motion of a first contact and motion of a second contact are tracked in a first period during which the first and second contacts remain touched down on the surface; detecting a liftoff of the first contact from the surface while the second contact remains touched down on the surface, wherein the motion of the second contact continues to be tracked during a second period after the liftoff of the first contact; and determining at least two input events, including determining a first input event during the first period and determining a second input event during the second period, wherein the first input event corresponds to the tracked motion of the first contact and is not based on the tracked motion of the second contact which is not stationary, and the second input event corresponds to the tracked motion of the second contact.
7966187
10673679
1
1. A method for evaluating compliance of at least one agent reading at least one script to at least one client, the method comprising at least the following: conducting at least one voice interaction between the at least one agent and the at least one client, wherein the at least one agent follows the at least one script at an agent workstation; evaluating the at least one voice interaction with at least one automatic speech recognition component adapted to analyze the at least one voice interaction, wherein the at least one voice interaction is divided into viewable panel-level segments and a panel-level time displacement stamp is assigned to each panel of the panel-level segments, wherein each panel-level segment is compared with a corresponding expected text, wherein a confidence level threshold of the automatic speech recognition component is used to evaluate the accuracy of each panel-level segment based on an output of a comparison between each panel-level segment and its corresponding expected text, wherein a score is assigned to each panel-level segment, each score indicating a match accuracy between the panel-level segment to which it is assigned and its assigned panel-level segment's corresponding expected text, wherein the scores are evaluated against a standard, the standard defining a required score for each of the panel-level segments to be declared as a match to their corresponding expected texts; and determining whether the at least one agent has adequately followed the at least one script wherein a set of action rules is applied to the output of the determining, wherein the set of action rules includes a quality assurance action to be taken.
4412305
06204924
1
1. An electronic language translator for use in translating any of a certain plurality of groups of words from a first language into a second language, the translator comprising: an input means for entering and storing a selected word from a chosen group of words corresponding to one of the certain plurality of groups of words in the first language; a first memory means for storing data representing each of the plurality of groups of words in the first language; an address means responsive to the input means for addressing the first memory means to cause sequential retrieval of each of the plurality of groups of words stored in the first memory means; a detection means connected to the first memory means and responsive to the addressing of the first memory means by the address means for detecting equivalency between the selected word stored in the input means and any word of any one of the plurality of groups of words retrieved from the first memory means; a second memory means for storing data representing a second and like plurality of groups of words in the second language, each of the second groups of words being the translation of one of the groups in the first language and being correspondingly addressed within the second memory means as is its counterpart in the first memory means, the second memory means being simultaneously addressed along with the first memory means by the address means such that upon a detection of equivalency by the detection means, the corresponding, translated group of words in the second language is retrieved; and a display means responsive to the detection means for displaying the corresponding, translated group of words in the second language that has been retrieved from the second memory means whereby translation of a group of words from the first language to the second language can be accomplished by inputting only a single word selected from the group of words in the first language.
20020184032
10094154
0
1. A voice synthesizing apparatus comprising: a memory that stores phoneme pieces having a plurality of different pitches for each phoneme represented by a same phoneme symbol; a reading device that reads a phoneme piece by using a pitch as an index; and a voice synthesizer that synthesizes a voice in accordance with the read phoneme piece.
20060184626
11056493
0
1. A software method for allocating application tasks between a client and a server comprising the steps of: detecting client-based computing resources capable of executing at least one application task; conveying at least one indicator of the detected client-based computing resources to a remotely located application server; and the application server determining whether to allocate at least one application task to a client or to a server component based upon the at least one indicator.
8452027
12671146
1
1. An audio conference system comprising a controller, a primary microphone, a plurality of general microphones, and an antenna that makes the controller and the microphones communicate via radio communication, wherein the controller includes: an utterance permitting unit that, in response to utterance request information received from any microphone, transmits utterance permission information to the microphone requesting an utterance; an utterance inhibiting unit that, in response to utterance inhibition request information received from the primary microphone, transmits utterance inhibition information to the general microphones; an operating mode control unit that switches an operating mode of the general microphones when the response of the utterance inhibition request information is received, and maintains the operating mode, that has been switched, of the general microphones, after the utterance inhibition information is transmitted, and wherein each of the general microphones includes: an utterance stopping unit that stops transmission of a speech signal to the controller upon receiving the utterance inhibition information from the controller.
20100241430
12793181
0
1. A method of generating a language model using non-speech metadata, the method comprising: applying a tree growing algorithm to highly fragmented non-speech metadata associated with a caller to a spoken dialog system but which does not describe physical characteristics of the caller; identifying projections based on the highly fragmented non-speech metadata and leaf nodes in which a history appears as a result of applying the tree growing algorithm to yield identified projections; and estimating a conditional, metadata dependent language model based on the identified projections and speech data from the caller.
20120131073
12950560
0
1. A method of automatically extracting conceptual graphs from text files, comprising the steps of: determining a set of key terms; determining a set of relationships between the key terms; parsing, using a computer microprocessor coupled to a computer memory, one or more text files; and automatically extracting, using the computer microprocessor, one or more conceptual graphs from the text file or files based upon the set of relationships.