theolepage/ssl-for-slr
Collection of self-supervised models for speaker and language recognition tasks.
This project provides pre-trained models that can identify who is speaking or what language is being spoken from audio recordings. It takes raw audio files as input and outputs classifications about the speaker or language. This is useful for researchers and developers working on speech technology applications like voice assistants or call center automation.
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Use this if you need robust, self-supervised models for tasks involving speaker identification or language recognition from audio data.
Not ideal if you are looking for ready-to-use applications for end-users, as this project focuses on the underlying models for developers.
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Jan 18, 2022
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