An AI speech processing toolkit
State of the art speech recognition, text-to-speech, spoken language understanding, and more.
Robust pre-trained models
Integrate Whisper, wav2vec 2.0, XLS-R, WavLM, HuBERT and more with S3PRL.
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git clone https://github.com/espnet/espnet
cd espnet/tools
. ./setup_anaconda.sh anaconda espnet 3.8
makeInstallation
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WandB Integration
Seamlessly track and compare experiments with Weights and Biases.
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cd espnet/egs2/librispeech
. ./run.shRecipes for 100+ Datasets
Data downloading and processing pre-handled. Spend more time developing instead of cleaning.
Built for any speech processing task
And supports NLP tasks, including Machine Translation and Language Modelling