Turning Whisper into Real-Time Transcription System

Dominik Macháček; Raj Dabre; Ondřej Bojar

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arXiv · 2307.14743

Turning Whisper into Real-Time Transcription System

Dominik Macháček·Raj Dabre·Ondřej Bojar

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Abstract

Whisper is one of the recent state-of-the-art multilingual speech recognition and translation models, however, it is not designed for real time transcription. In this paper, we build on top of Whisper and create Whisper-Streaming, an implementation of real-time speech transcription and translation of Whisper-like models. Whisper-Streaming uses local agreement policy with self-adaptive latency to enable streaming transcription. We show that Whisper-Streaming achieves high quality and 3.3 seconds latency on unsegmented long-form speech transcription test set, and we demonstrate its robustness and practical usability as a component in live transcription service at a multilingual conference.

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Dominik Macháček, Raj Dabre, Ondřej Bojar. 2023-07-27. Turning Whisper into Real-Time Transcription System. https://arxiv.org/abs/2307.14743

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