espnet (conda): 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.
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