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.
Develop speech recognition systems that combine deep learning with traditional techniques using this toolkit.
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Free · no card · unsubscribe anytimepytorch-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.
pytorch-kaldi has 2.4k stars on GitHub. It has been forked 443 times. pytorch-kaldi is written mainly in Python. It has been in active development since 2018. Its main topics are asr, deep-learning, deep-neural-networks, dnn.
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.
pytorch-kaldi is an open-source project.
Yes. pytorch-kaldi is free and open source — you can use, modify and self-host it.
pytorch-kaldi is written mainly in Python.
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