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CN-Celeb
Audio
NLP
|...
License: CC BY-SA 4.0

Overview

This data is a large-scale speaker recognition dataset collected 'in the wild'. The dataset
contains more than 130,000 utterances from 1,000 Chinese celebrities, and covers 11 different
genres in real world. All the audio files are coded as single channel and sampled at 16kHz
with 16-bit precision.

Citation

Please use the following citation when referencing the dataset:

@misc{fan2019cnceleb,
  title={CN-CELEB: a challenging Chinese speaker recognition dataset},
  author={Yue Fan and Jiawen Kang and Lantian Li and Kaicheng Li and Haolin Chen and Sitong
Cheng and Pengyuan Zhang and Ziya Zhou and Yunqi Cai and Dong Wang},
  year={2019},
  eprint={1911.01799},
  archivePrefix={arXiv},
  primaryClass={eess.AS}
}

License

CC BY-SA 4.0

Data Summary
Type
Audio,
Amount
--
Size
29.66GB
Provided by
CSLT at Tsinghua University
The Center for Speech and Language Technology (CSLT), Tsinghua University, was established with the goal of conducting cut-edging research on intelligent human-machine interactions, particularly the research on speech and language techniques.
| Amount -- | Size 29.66GB
CN-Celeb
Audio
NLP
License: CC BY-SA 4.0

Overview

This data is a large-scale speaker recognition dataset collected 'in the wild'. The dataset
contains more than 130,000 utterances from 1,000 Chinese celebrities, and covers 11 different
genres in real world. All the audio files are coded as single channel and sampled at 16kHz
with 16-bit precision.

Citation

Please use the following citation when referencing the dataset:

@misc{fan2019cnceleb,
  title={CN-CELEB: a challenging Chinese speaker recognition dataset},
  author={Yue Fan and Jiawen Kang and Lantian Li and Kaicheng Li and Haolin Chen and Sitong
Cheng and Pengyuan Zhang and Ziya Zhou and Yunqi Cai and Dong Wang},
  year={2019},
  eprint={1911.01799},
  archivePrefix={arXiv},
  primaryClass={eess.AS}
}

License

CC BY-SA 4.0

0
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