Reverb: Open-Source ASR and Diarization from Rev
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arXiv
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| Hauptverfasser: | , , , , , , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866917935448064000 |
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| author | Bhandari, Nishchal Chen, Danny Fernández, Miguel Ángel del Río Delworth, Natalie Fox, Jennifer Drexler Jetté, Migüel McNamara, Quinten Miller, Corey Novotný, Ondřej Profant, Ján Qin, Nan Ratajczak, Martin Robichaud, Jean-Philippe |
| author_facet | Bhandari, Nishchal Chen, Danny Fernández, Miguel Ángel del Río Delworth, Natalie Fox, Jennifer Drexler Jetté, Migüel McNamara, Quinten Miller, Corey Novotný, Ondřej Profant, Ján Qin, Nan Ratajczak, Martin Robichaud, Jean-Philippe |
| contents | Today, we are open-sourcing our core speech recognition and diarization models for non-commercial use. We are releasing both a full production pipeline for developers as well as pared-down research models for experimentation. Rev hopes that these releases will spur research and innovation in the fast-moving domain of voice technology. The speech recognition models released today outperform all existing open source speech recognition models across a variety of long-form speech recognition domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_03930 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reverb: Open-Source ASR and Diarization from Rev Bhandari, Nishchal Chen, Danny Fernández, Miguel Ángel del Río Delworth, Natalie Fox, Jennifer Drexler Jetté, Migüel McNamara, Quinten Miller, Corey Novotný, Ondřej Profant, Ján Qin, Nan Ratajczak, Martin Robichaud, Jean-Philippe Computation and Language Sound Audio and Speech Processing Today, we are open-sourcing our core speech recognition and diarization models for non-commercial use. We are releasing both a full production pipeline for developers as well as pared-down research models for experimentation. Rev hopes that these releases will spur research and innovation in the fast-moving domain of voice technology. The speech recognition models released today outperform all existing open source speech recognition models across a variety of long-form speech recognition domains. |
| title | Reverb: Open-Source ASR and Diarization from Rev |
| topic | Computation and Language Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2410.03930 |