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ASR-project /Multilingual-PR

Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.

$ git clone https://github.com/ASR-project/Multilingual-PR.git
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Language
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Created
Feb 25, 2022
4.6 years old
Last push
May 9, 2022

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