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@@ -141,22 +141,26 @@ The pre-trained `pyannote/embedding` model from `pyannote.audio` was used to ext
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  If you use this dataset, please cite the original LibriTTS corpus, as well as `pyannote.audio`.
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  ```bibtex
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- @inproceedings{zen2019libritts,
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- title={LibriTTS: A Corpus with Plausible Synthesized Speech},
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- author={Zen, Heiga and Dang, Viet and Clark, Rob and Zhang, Yu and Weiss, Ron J and Jia, Ye and Chen, Zongheng and Wu, Yonghui},
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- booktitle={Interspeech 2019},
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- year={2019},
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- organization={ISCA}
 
 
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  }
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- @inproceedings{Bredin2020,
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- title={{pyannote.audio: neural building blocks for speaker diarization}},
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- author={Hervé Bredin and Ruiqing Yin and Juan Manuel Coria and Gregory Gelly and Pavel Korshunov and Marvin Lavechin and Diego Fustes and Hadrien Titeux and Wassim Bouaziz and Marie-Philippe Gill},
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- booktitle={ICASSP 2020, IEEE International Conference on Acoustics, Speech and Signal Processing},
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  year={2020},
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- month={May},
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- location={Barcelona, Spain},
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- }
 
 
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  ```
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  ## License
 
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  If you use this dataset, please cite the original LibriTTS corpus, as well as `pyannote.audio`.
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  ```bibtex
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+ @inproceedings{zen19_interspeech,
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+ title = {LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech},
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+ author = {Heiga Zen and Viet Dang and Rob Clark and Yu Zhang and Ron J. Weiss and Ye Jia and Zhifeng Chen and Yonghui Wu},
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+ year = {2019},
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+ booktitle = {Interspeech 2019},
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+ pages = {1526--1530},
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+ doi = {10.21437/Interspeech.2019-2441},
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+ issn = {2958-1796},
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  }
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+ @INPROCEEDINGS{9052974,
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+ author={Bredin, Hervé and Yin, Ruiqing and Coria, Juan Manuel and Gelly, Gregory and Korshunov, Pavel and Lavechin, Marvin and Fustes, Diego and Titeux, Hadrien and Bouaziz, Wassim and Gill, Marie-Philippe},
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+ booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
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+ title={Pyannote.Audio: Neural Building Blocks for Speaker Diarization},
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  year={2020},
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+ volume={},
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+ number={},
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+ pages={7124-7128},
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+ keywords={Voice activity detection;Conferences;Pipelines;Machine learning;Signal processing;Acoustics;Open source software;speaker diarization;voice activity detection;speaker change detection;overlapped speech detection;speaker embedding},
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+ doi={10.1109/ICASSP40776.2020.9052974}}
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  ```
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  ## License