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🙌🏻XLS-R is a new set of ML models from Facebook AI
The PyTorch team from Facebook have published XLS-R, a set of large-scale models for self-study of cross-language speech representation based on wav2vec 2.0. The models were trained in 128 languages for over 400 thousand hours of unlabeled speech. Thanks to fine tuning, the models show a high level of speech recognition and are excellent for translation, understanding and language identification tasks. The training data was taken from a variety of sources, including audiobooks and court records. XLS-R neural network models contain more than 2 billion parameters and are multilingual. Moreover, testing has shown that teaching several languages at once increases the efficiency of neural networks. You can download XLS-R from Github right now.
https://github.com/pytorch/fairseq/tree/main/examples/wav2vec/xlsr
GitHub fairseq/examples/wav2vec/xlsr at main · facebookresearch/fairseq Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - facebookresearch/fairseq
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