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ClearerVoice-Studio
What it is
ClearerVoice-Studio is an open-source AI speech-processing toolkit for researchers, developers, and end-users. It provides speech enhancement, separation, super-resolution, and audio-visual target-speaker extraction, with pretrained models and scripts for training or fine-tuning those tasks. SpeechScore adds intrusive and non-intrusive speech-quality assessment using metrics including PESQ, DNSMOS, SNR, and SI-SDR. The toolkit processes audio and video in batches through Python interfaces that accept files, directories, or .scp lists, plus a NumPy input-to-output interface. Listed audio formats include WAV, AAC, AC3, AIFF, FLAC, M4A, MP3, OGG, OPUS, WMA, and WEBM; FFmpeg is required for codecs beyond WAV. Installation is available with pip install clearvoice or from the GitHub repository. Models are fetched from Hugging Face during inference, with ModelScope downloads as a manual alternative. Demos are linked on both services, and the project uses Apache License, Version 2.0.
For and against
For
- Supports enhancement, separation, and super-resolution
- Includes audio-visual target-speaker extraction
- Provides pretrained models and training scripts
- SpeechScore offers multiple quality metrics
- Open source under Apache License 2.0
Against
- FFmpeg is required beyond WAV codecs
- Hugging Face demo GPU usage is limited
- Pretrained models require downloads during inference
The verdict
ClearerVoice-Studio combines several speech-processing tasks with pretrained models, training tools, and quality scoring. Its batch workflow and broad format list suit technical users comfortable with repository-based installation and model downloads.
Who it suits
It suits researchers, developers, and end-users working with batch speech or video processing. It also fits users who need model training, fine-tuning, or speech-quality scoring.
On the record
- Additional task
- ClearVoice also provides speech super-resolution and audio-visual target speaker extraction.github.com · read 9 Oct 2026
- Audio formats
- The repository says ClearVoice supports formats including WAV, AAC, AC3, AIFF, FLAC, M4A, MP3, OGG, OPUS, WMA, and WEBM, and requires FFmpeg for audio codecs.github.com · read 9 Oct 2026
- Demos
- The repository links to ClearVoice demos on Hugging Face and ModelScope, plus a SpeechScore demo on Hugging Face.github.com · read 4 Oct 2026
- Installation
- ClearVoice can be installed from PyPI with `pip install clearvoice` or installed from the GitHub repository.github.com · read 9 Oct 2026
- Integration
- The README shows a Python interface that accepts audio or video file paths, directories, or `.scp` lists, and includes a NumPy input-to-output interface.github.com · read 9 Oct 2026
- Intended users
- The repository describes the toolkit as designed for researchers, developers, and end-users.github.com · read 9 Oct 2026
- License
- The GitHub repository identifies its license as Apache-2.0.github.com · read 9 Oct 2026
- Model downloads
- Pretrained models are fetched from Hugging Face during inference, with manual downloads available from ModelScope if automatic downloads fail.github.com · read 9 Oct 2026
- Model hosting
- Pretrained models are fetched from Hugging Face during inference, with ModelScope downloads offered as a manual alternative.github.com · read 4 Oct 2026
- Notable limit
- The README says Hugging Face demo GPU usage is limited and ModelScope has a larger GPU usage quota.github.com · read 4 Oct 2026
- Pretrained models
- The listed pretrained models cover speech enhancement, speech separation, speech super-resolution, and audio-visual target speaker extraction.github.com · read 9 Oct 2026
- Purpose
- ClearerVoice-Studio is an open-source AI speech-processing toolkit with pretrained models for speech enhancement, separation, and target speaker extraction.github.com · read 9 Oct 2026
- Quality assessment
- The included SpeechScore toolkit evaluates speech quality using metrics including SNR, PESQ, STOI, DNSMOS, and SI-SDR.github.com · read 9 Oct 2026
- Speech tasks
- ClearVoice supports speech enhancement, speech separation, speech super-resolution, and audio-visual target-speaker extraction.github.com · read 4 Oct 2026
- Support
- The maintainers invite users to raise repository issues, email the listed contacts, or join their DingTalk group.github.com · read 9 Oct 2026
- Training
- The repository provides training and fine-tuning scripts for speech enhancement, separation, super-resolution, and target speaker extraction.github.com · read 9 Oct 2026
