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--- |
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YAML tags: |
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- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging |
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task_categories: |
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- conversational |
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- automatic-speech-recognition |
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language: |
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- en |
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--- |
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# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone |
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## Description |
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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. |
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For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1004?source=Huggingface |
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## Format |
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16kHz, 16bit, uncompressed wav, mono channel |
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## Recording Environment |
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quiet indoor environment, without echo |
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## Recording Content |
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dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed |
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## Population |
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2,000 Americans, balance for gender; |
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## Annotation |
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annotating for the transcription text, speaker identification and gender |
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## Device |
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Android mobile phone, iPhone |
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## Language |
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American English |
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## Application scene |
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speech recognition, voiceprint recognition |
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## Accuracy rate |
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95% |
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# Licensing Information |
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Commercial License |
