CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the priority benefit of Korean Patent Application No. 10-2019-0094583 filed in the Republic of Korea on Aug. 2, 2019, which is incorporated herein by reference for all purposes as if fully set forth herein.

BACKGROUND OF THE INVENTION

Field of the Invention

The present disclosure relates to an intelligent presentation method, and more particularly to, an intelligent presentation method that may support a presentation to be smoothly performed by learning content of the presentation while a presenter is presenting and performing a function required for the presentation in response to a command voice.

Related Art

An interactive artificial intelligence is a program aimed at simulating conversations with humans via voice or text. Such interactive artificial intelligences are classified into a Q&A system, an intelligent search, a conversation companion, a personal assistant, and the like based on an intelligence acquisition scheme and information exchange scheme. Commercially available interactive artificial intelligence focuses on detecting specific words or phrases on an input and outputting prepared responses. Most commonly used personal assistant-type artificial intelligence has recently been built into smartphones often as a standard feature. Current personal assistant-type artificial intelligence is mostly based on a character set by a manufacturer.

In this connection, the interactive artificial intelligence was developed in a manner to allow a virtual character to communicate with a user in a virtual space, and to automatically select a conversation partner suitable for the user and connect the conversation partner with the user. For example, a configuration of conducting a conversation in a video conference manner in real time among a plurality of users includes an interactive agent. A conventional interactive agent was not be able to handle continuous conversations because the conventional interactive agent takes a manner of learning and processing a sentence as a basic unit. Further, the conventional interactive agent was not be able to answer questions that are not defined in advance because the conventional interactive agent proceeds focusing on performing defined functions rather than understanding a conversation situation.

SUMMARY OF THE INVENTION

The present disclosure aims to solve the aforementioned needs and/or problems.

Further, an intelligent presentation method of the present disclosure is aimed to support a presentation to be smoothly performed by learning content of the presentation while a presenter is presenting and performing a function required for the presentation in response to a command voice.

In an aspect, an intelligent presentation method including learning presentation content presented by a presenter, recognizing a command voice of the presenter that utters in the learned presentation content, analyzing an intent of the recognized command voice of the presenter, and executing a function corresponding to the analyzed command voice of the presenter or responding to the command voice is provided.

In one implement, the intelligent presentation method may further include recognizing the presentation content displayed on a screen as a text, and executing the function corresponding to the command voice of the presenter or responding to the command voice based on the recognized text.

In one implement, the intelligent presentation method may further include converting the presentation content uttered by the presenter into a text, and executing the function corresponding to the command voice of the presenter or responding to the command voice based on the converted text.

In one implement, the learning of the presentation content may include learning the presentation content by acquiring first voice data uttered by the presenter and extracting feature values of a first voice from the acquired first voice data.

In one implement, the recognizing of the command voice of the presenter may include comparing the learned feature values of the first voice with the command voice of the presenter, and when the comparison result is included in a set voice range, recognizing the command voice of the presenter.

In one implement, the recognizing of the command voice of the presenter may include comparing the learned feature values of the first voice with the command voice of the presenter, and when the comparison result is not included in a set voice range, not recognizing the command voice of the presenter.

In one implement, the intelligent presentation method may further include determining the presenter as a speaker and learning utterance content uttered from the speaker when the command voice of the presenter is not recognized, wherein the learning of the utterance content uttered by the speaker may include learning the utterance content by acquiring second voice data uttered by the speaker and extracting feature values of a second voice from the acquired second voice data.

In one implement, the intelligent presentation method may further include recognizing a command voice of the speaker in the learned utterance content, analyzing an intent of the recognized command voice of the speaker, and executing a function corresponding to the analyzed command voice of the speaker or responding to the command voice.

In one implement, wherein the recognizing of the command voice of the speaker may include comparing the learned feature values of the second voice with the command voice of the speaker, and when the comparison result is included in a set voice range, recognizing the command voice of the speaker.

In one implement, the intelligent presentation method may further include obtaining the command voice of the presenter related to a situation in which the presenter utters, applying the command voice of the presenter to a pre-trained command voice recognition, determination, and classification model, determining whether a situation in which the command voice of the presenter is recognized is correct based on the application result, and analyzing the intent of the command voice of the presenter based on the determination result.

In one implement, the command voice recognition, determination, and classification model may be stored in an external artificial intelligence (AI) device, and wherein the command voice recognition, determination, and classification model may transmit, to the external AI device, feature values related to information related to the situation in which the command voice of the presenter is recognized, and obtain, from the external AI device, the result of applying the command voice of the presenter to the command voice recognition, determination, and classification model.

In one implement, the command voice recognition, determination, and classification model may be stored in a 5G network, wherein the command voice recognition, determination, and classification model may transmit, to the 5G network, information related to the situation in which the command voice of the presenter is recognized, and receive, from the 5G network, the result of applying the command voice of the presenter to the command voice recognition, determination, and classification model.

In one implement, the intelligent presentation method may further include receiving, from the 5G network, downlink control information (DCI) used to schedule transmission of the information related to the situation in which the command voice of the presenter is recognized, and wherein the information related to the situation in which the command voice of the presenter is recognized may be transmitted to the 5G network based on the DCI.

In one implement, the intelligent presentation method of claim may further include performing an initial access procedure to the 5G network based on a synchronization signal block (SSB), wherein the information related to the situation in which the command voice of the presenter is recognized may be transmitted to the 5G network through a physical uplink shared channel (PUSCH), and wherein a demodulation-reference signal (DM-RS) of the SSB and the PUSCH may be QCLed (quasi co-located) for a QCL type D.

In one implement, the intelligent presentation method may further include controlling a communication unit to transmit the information related to the situation in which the command voice of the presenter is recognized to an AI processor included in the 5G network, and controlling the communication unit to receive AI processed information from the AI processor, wherein the AI processed information may be information determined whether the command voice of the presenter is recognized.

