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Datasets:
Nexdata
/
American_English_Natural_Dialogue_Speech_Data

Tasks:
Automatic Speech Recognition
Modalities:
Audio
Text
Formats:
soundfolder
Languages:
English
Size:
< 1K
Libraries:
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audioduration (s)
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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