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Reverb encompasses two separate models: an automatic speech recognition (ASR) model in the WeNet framework and a speech diarization model in the Pyannote framework. For researchers, we provide simple scripts for combining ASR and diarization output into a single diarized transcript. For developers, we provide a full pipeline that handles both ASR and diarization in a production environment. Additionally, we are releasing an int8 quantized version of the ASR model within the developer pipeline (“Reverb Turbo”) for applications that are particularly sensitive to speed and/or memory usage.


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