Unified Pre-training for Self-Supervised Learning and Supervised Learning for ASR

Related tags

Deep LearningUniSpeech
Overview

UniSpeech

The family of UniSpeech:

UniSpeech (ICML 2021): Unified Pre-training for Self-Supervised Learning and Supervised Learning for ASR

UniSpeech-SAT (ICASSP 2022 Submission): Universal Speech Representation Learning with Speaker Aware Pre-Training

Pre-trained models

We strongly suggest using our UniSpeech-SAT model for speaker related tasks, since it shows very powerful performance on various speaker related benchmarks.

Model Dataset Model
UniSpeech Base 1500 hrs CommonVoice download
UniSpeech Large 1500 hrs CommonVoice download
UniSpeech-SAT Base 960 hrs LibriSpeech download
UniSpeech-SAT Base+ 60k hrs Libri-Light + 10k hrs GigaSpeech + 24k hrs VoxPopuli download
UniSpeech-SAT Large 60k hrs Libri-Light + 10k hrs GigaSpeech + 24k hrs VoxPopuli download

License

This project is licensed under the license found in the LICENSE file in the root directory of this source tree. Portions of the source code are based on the FAIRSEQ project.

Microsoft Open Source Code of Conduct

Contact Information

For help or issues using UniSpeech models, please submit a GitHub issue.

For other communications related to UniSpeech, please contact Yu Wu ([email protected]).

Owner
Microsoft
Open source projects and samples from Microsoft
Microsoft
GitHub Repository
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