microsoft/UniSpeech
A Microsoft repository providing pre-trained speech processing models (WavLM, UniSpeech, UniSpeech-SAT) trained via self-supervised learning for tasks including speaker verification, speech recognition, and speech separation.
UniSpeech is a family of speech processing models developed by Microsoft Research, each implementing self-supervised pre-training at scale. The models include WavLM for full-stack speech processing, UniSpeech for unified ASR pre-training, and UniSpeech-SAT which adds speaker awareness for improved speaker-related tasks. All models are implemented in PyTorch and released with pre-trained weights via HuggingFace. The repository provides evaluation benchmarks, inference code, and training pipelines for speech diarization, speaker verification, and speech recognition downstream tasks.
Frequently asked
- What is microsoft/UniSpeech?
- A Microsoft repository providing pre-trained speech processing models (WavLM, UniSpeech, UniSpeech-SAT) trained via self-supervised learning for tasks including speaker verification, speech recognition, and speech separation.
- Is UniSpeech open source?
- Yes — microsoft/UniSpeech is an open-source project tracked on heatdrop.
- What language is UniSpeech written in?
- microsoft/UniSpeech is primarily written in Python.
- How popular is UniSpeech?
- microsoft/UniSpeech has 483 stars on GitHub.
- Where can I find UniSpeech?
- microsoft/UniSpeech is on GitHub at https://github.com/microsoft/UniSpeech.