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Reverb: Open-Source ASR and Diarization from Rev

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arxiv 2410.03930 v3 pith:OHOJAM7E submitted 2024-10-04 cs.CL cs.SDeess.AS

Reverb: Open-Source ASR and Diarization from Rev

Nishchal Bhandari , Danny Chen , Miguel \'Angel del R\'io Fern\'andez , Natalie Delworth , Jennifer Drexler Fox , Mig\"uel Jett\'e , Quinten McNamara , Corey Miller
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Ond\v{r}ej Novotn\'y J\'an Profant Nan Qin Martin Ratajczak Jean-Philippe Robichaud
This is my paper
classification cs.CL cs.SDeess.AS
keywords modelsrecognitionspeechdiarizationresearchtodayacrosscore
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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Cited by 2 Pith papers

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  1. Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing

    cs.CL 2026-07 conditional novelty 6.0

    Mode-tag conditioning on paired verbatim/intended data makes Whisper produce either verbatim or intended transcripts on demand, with cross-lingual disfluency control and improved word timestamps.

  2. Afrispeech Semantics: Evaluating Audio Semantic Reasoning in Spoken Language Models Across Domains and Accents

    cs.CL 2026-05 unverdicted novelty 4.0

    Audio language models are benchmarked on five semantic and paralinguistic reasoning tasks to reveal limitations in handling spoken audio evidence, accent variation, and domain shifts.