or4cl3ai/Aiden_t5
Text Generation
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audio
audioduration (s) 3.8
7.75
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YAML Metadata
Warning:
The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other
1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone
Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.
For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1004?source=Huggingface
Format
16kHz, 16bit, uncompressed wav, mono channel
Recording Environment
quiet indoor environment, without echo
Recording Content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed
Population
2,000 Americans, balance for gender;
Annotation
annotating for the transcription text, speaker identification and gender
Device
Android mobile phone, iPhone
Language
American English
Application scene
speech recognition, voiceprint recognition
Accuracy rate
95%
Licensing Information
Commercial License
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Models trained or fine-tuned on Nexdata/American_English_Natural_Dialogue_Speech_Data