Instructions to use espnet/Yushi_Ueda_mini_librispeech_diar_train_diar_raw_max_epoch20_valid.acc.best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ESPnet
How to use espnet/Yushi_Ueda_mini_librispeech_diar_train_diar_raw_max_epoch20_valid.acc.best with ESPnet:
unknown model type (must be text-to-speech or automatic-speech-recognition)
- Notebooks
- Google Colab
- Kaggle
import from zenodo
Browse files
README.md
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tags:
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- espnet
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- audio
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-
-
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language: en
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datasets:
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- mini_librispeech
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doi={10.21437/Interspeech.2018-1456},
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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}
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-
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```
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or arXiv:
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```bibtex
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tags:
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- espnet
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- audio
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+
- speaker-diarization
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language: en
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datasets:
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- mini_librispeech
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doi={10.21437/Interspeech.2018-1456},
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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}
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```
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or arXiv:
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```bibtex
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