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arXiv · 2506.19398

ClearerVoice-Studio: Bridging Advanced Speech Processing Research and Practical Deployment

Shengkui Zhao·Zexu Pan·Bin Ma
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Abstract

This paper introduces ClearerVoice-Studio, an open-source, AI-powered speech processing toolkit designed to bridge cutting-edge research and practical application. Unlike broad platforms like SpeechBrain and ESPnet, ClearerVoice-Studio focuses on interconnected speech tasks of speech enhancement, separation, super-resolution, and multimodal target speaker extraction. A key advantage is its state-of-the-art pretrained models, including FRCRN with 3 million uses and MossFormer with 2.5 million uses, optimized for real-world scenarios. It also offers model optimization tools, multi-format audio support, the SpeechScore evaluation toolkit, and user-friendly interfaces, catering to researchers, developers, and end-users. Its rapid adoption attracting 3000 GitHub stars and 239 forks highlights its academic and industrial impact. This paper details ClearerVoice-Studio's capabilities, architectures, training strategies, benchmarks, community impact, and future plan. Source code is available at https://github.com/modelscope/ClearerVoice-Studio.

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Shengkui Zhao, Zexu Pan, Bin Ma. 2025-06-24. ClearerVoice-Studio: Bridging Advanced Speech Processing Research and Practical Deployment. https://arxiv.org/abs/2506.19398

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