Reverb: Open-Source ASR and Diarization from Rev

Nishchal Bhandari, Danny Chen, Miguel Ángel del Río Fernández, Natalie Delworth, Jennifer Drexler Fox +8 more
10/4/2024
cs.CLcs.SDeess.AS

No official code found. Best implementation: revdotcom/reverb (436 stars, Apache-2.0, last commit 2025-04-22).

Abstract

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.

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Code Implementations(1)

revdotcom/reverbCommunity72%
Apache-2.0

Open source inference code for Rev's model

43627Python, DockerfileSep 16, 20241 years agoApache-2.0
asrasr-modelcanarydeeplearningdiarization+14 more

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Cite this paper

@article{bhandari2024reverb,
  title  = {Reverb: Open-Source ASR and Diarization from Rev},
  author = {Nishchal Bhandari and Danny Chen and Miguel Ángel del Río Fernández and Natalie Delworth and Jennifer Drexler Fox and Migüel Jetté and Quinten McNamara and Corey Miller and Ondřej Novotný and Ján Profant and Nan Qin and Martin Ratajczak and Jean-Philippe Robichaud},
  year   = {2024},
  eprint = {2410.03930},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.03930v3}
}

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