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conda-forge.org : espnet
ESPnet is an end-to-end speech processing toolkit covering end-to-end speech recognition, text-to-speech, speech translation, speech enhancement, speaker diarization, spoken language understanding, and so on. ESPnet uses pytorch as a deep learning engine and also follows Kaldi style data processing, feature extraction/format, and recipes to provide a complete setup for various speech processing experiments.
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purl: pkg:conda/espnet
Keywords: chainer, deep-learning, end-to-end, kaldi, machine-translation, pytorch, singing-voice-synthesis, speaker-diarization, speech-enhancement, speech-recognition, speech-separation, speech-synthesis, speech-translation, spoken-language-understanding, voice-conversion
License: Apache-2.0
Latest release: over 1 year ago
First release: over 1 year ago
Stars: 6,230 on GitHub
Forks: 1,865 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 18 days ago