BorrisonXiao/espnet-st

For iwslt23 Tunisian scripts # ESPnet: end-to-end speech processing toolkit |system/pytorch ver.|1.4.0|1.5.1|1.6.0|1.7.1|1.8.1|1.9.1|1.10.2|1.11.0|1.12.1| | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |ubuntu20/python3.9/pip||||||||| | |ubuntu20/python3.8/pip||||||||| | |ubuntu18/python3.7/pip| | | | | | | | | | |debian9/python3.7/conda||||||||| | |centos7/python3.7/conda||||||||| | |doc/python3.8||||||||| | **Docs** | **Example** | **Example (ESPnet2)** | **Docker** | **Notebook** 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. ## Tutorial Series - 2019 Tutorial at Interspeech - Material - 2021 Tutorial at CMU - Online video - Material - 2022 Tutorial at CMU - Usage of ESPnet (ASR as an example) - Online video - Material - Add new models/tasks to ESPnet - Online video - Material ## Key Features ### Kaldi style complete recipe - Support numbers of `ASR` recipes (WSJ, Switchboard, CHiME-4/5, Librispeech, TED, CSJ, AMI, HKUST, Voxforge, REVERB, etc.) - Support numbers of `TTS` recipes with a similar manner to the ASR recipe (LJSpeech, LibriTTS, M-AILABS, etc.) - Support numbers of `ST` recipes (Fisher-CallHome Spanish, Libri-trans, IWSLT'18, How2, Must-C, Mboshi-French, etc.) - Support numbers of `MT` recipes (IWSLT'14, IWSLT'16, the above ST recipes etc.) - Support numbers of `SLU` recipes (CATSLU-MAPS, FSC, Grabo, IEMOCAP, JDCINAL, SNIPS, SLURP, SWBD-DA, etc.) - Support numbers of `SE/SS` recipes (DNS-IS2020, LibriMix, SMS-WSJ, VCTK-noisyreverb, WHAM!, WHAMR!, WSJ-2mix, etc.) - Support voice conversion recipe (VCC2020 baseline) - Support speaker diarization recipe (mini_librispeech, li …