fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Update huffman_coder.py
- WMT'16 En-De Dataset Download Link is broken
- Empty and random transcripts after finetuning wav2vec2.
- [Wav2Vec2-XLSR-53]Problems about the pretrained model
- Evaluating the CTC model ,the hypothesises are all the null, resulting in a wer of 100%.
- UST - KMeans Clustering & Acoustic Model(s) Missing
- The 'label_smoothed_cross_entropy_with_rdrop.py' file has a bug, preventing validation.
- Support videoclip with newer version of dependencies
- Enabling word-level timestamps for all W2L Decoders
- [Potential Bug] in wav2vec (1.0?): targets always zero, loss computation potentially incorrect?
- Docs
- Python not yet supported