microsoft/UniSpeech

UniSpeech - Large Scale Self-Supervised Learning for Speech

47
/ 100
Emerging

This project provides pre-trained models that help extract meaningful information from spoken audio. You input raw speech recordings, and the models produce insights related to the content spoken or the speaker's identity. Researchers and developers working on speech-enabled applications or analytics would use these models.

479 stars. No commits in the last 6 months.

Use this if you need to build advanced speech recognition or speaker identification systems with high accuracy, leveraging models pre-trained on vast amounts of speech data.

Not ideal if you need a ready-to-use application for transcribing audio or identifying speakers without any development effort.

speech-recognition speaker-identification audio-analysis voice-biometrics natural-language-processing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

479

Forks

76

Language

Python

License

Last pushed

Apr 05, 2024

Commits (30d)

0

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