Pkwrap
A pytorch wrapper for LF-MMI training and parallel training in Kaldi
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Pytorch List | 14,715 | 3 months ago | 4 | |||||||
| A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | ||||||||||
| Espnet | 7,563 |  | 5 | 3 months ago | 33 | October 25, 2023 | 270 | apache-2.0 | Python | |
| End-to-End Speech Processing Toolkit | ||||||||||
| Pytorch Kaldi | 2,138 | 2 years ago | 24 | Python | ||||||
| pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit. | ||||||||||
| Espresso | 930 | 9 months ago | 7 | other | Python | |||||
| Espresso: A Fast End-to-End Neural Speech Recognition Toolkit | ||||||||||
| Lhotse | 794 | 3 months ago | 108 | apache-2.0 | Python | |||||
| Tools for handling speech data in machine learning projects. | ||||||||||
| Speech Transformer | 714 | a year ago | 5 | Python | ||||||
| A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese. | ||||||||||
| Asv Subtools | 561 | 4 months ago | 18 | apache-2.0 | Python | |||||
| An Open Source Tools for Speaker Recognition | ||||||||||
| Kaldifeat | 161 |  | 1 | 3 months ago | 34 | November 30, 2022 | 12 | other | C++ | |
| Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API | ||||||||||
| Pykaldi2 | 147 | 4 years ago | 9 | mit | Python | |||||
| Yet another speech toolkit based on Kaldi and PyTorch | ||||||||||
| Ctc_pytorch | 121 | 4 years ago | 1 | Python | ||||||
| CTC end -to-end ASR for timit and 863 corpus. | ||||||||||
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