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pytorch-kaldi
mravanelli/pytorch-kaldi
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.
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Python
Updated: Today
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on asr and deep-learning
Who made it?Maintained by mravanelli team, 2.4K⭐ on GitHub, #588 out of 3201 in Models
Why does it exist?With the growing demand for asr and deep-learning in Models, mravanelli created pytorch-kaldi as a streamlined solution.
What can it do?Key use cases: deep-neural-networks, dnn, dnn-hmm
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/mravanelli/pytorch-kaldi
🔗 github.com/mravanelli/pytorch-kaldi
Topics
asrdeep-learningdeep-neural-networksdnndnn-hmmgrukaldilstmlstm-neural-networksmultilayer-perceptron-networkpytorchrecurrent-neural-networksrnnrnn-modelspeechspeech-recognitiontimit