| | --- |
| | YAML tags: |
| | - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging |
| | task_categories: |
| | - conversational |
| | - automatic-speech-recognition |
| | language: |
| | - en |
| | --- |
| | # 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone |
| |
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| |
|
| | ## Description |
| | This dataset is just a sample of American English Natural Dialogue Speech dataset(paid dataset).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 & to download the rest of the dataset(paid),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 |
