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JoeyS2T is a JoeyNMT extension for speech-to-text tasks such as automaticspeech recognition and end-to-end speech translation. It inherits the corephilosophy of JoeyNMT, a minimalist NMT toolkit built on PyTorch, seekingsimplicity and accessibility. JoeyS2T's workflow is self-contained, startingfrom data pre-processing, over model training and prediction to evaluation, andis seamlessly integrated into JoeyNMT's compact and simple code base. On top ofJoeyNMT's state-of-the-art Transformer-based encoder-decoder architecture,JoeyS2T provides speech-oriented components such as convolutional layers,SpecAugment, CTC-loss, and WER evaluation. Despite its simplicity compared toprior implementations, JoeyS2T performs competitively on English speechrecognition and English-to-German speech translation benchmarks. Theimplementation is accompanied by a walk-through tutorial and available onhttps://github.com/may-/joeys2t.

JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT