modelscope/ClearerVoice-Studio

Health v2 · maintenance only

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Adoption not part of the score

4445 stars · 364 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ClearerVoice-Studio is an open-source, AI-powered speech processing toolkit from ModelScope/Alibaba offering state-of-the-art pretrained models for speech enhancement, separation, super-resolution, and target speaker extraction. It includes training and inference scripts, a pip-installable ClearVoice package, and a SpeechScore evaluation module.

Use cases

• remove background noise from speech recordings
• separate overlapping speakers in an audio file
• extract a target speaker's voice from a mixture
• upsample low-quality audio to higher bandwidth speech
• evaluate speech quality with MOS-style metrics
• fine-tune speech enhancement models on custom data

When to choose

• you need SOTA pretrained models for speech enhancement or separation
• you want both inference and training/fine-tuning scripts in one toolkit
• you need programmatic Python/NumPy integration into an audio pipeline

When to avoid

• you need text-to-speech or speech recognition rather than enhancement
• you want a GUI desktop app rather than a Python library
• you lack GPU resources for fast inference on large models

Facets

library · maturity active

audio-processing machine-learning speech-recognition deep-learning speech-processing machine-learning deep-learning python cross-platform speech-enhancement speech-separation noise-suppression speech-super-resolution speaker-extraction pretrained-models pytorch speech-quality-evaluation audio gpu

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markdown · JSON · MCP: product_card(name="modelscope/ClearerVoice-Studio")