  JoeyS2T is a JoeyNMT extension for speech-to-text tasks such as automatic
speech recognition and end-to-end speech translation. It inherits the core
philosophy of JoeyNMT, a minimalist NMT toolkit built on PyTorch, seeking
simplicity and accessibility. JoeyS2T's workflow is self-contained, starting
from data pre-processing, over model training and prediction to evaluation, and
is seamlessly integrated into JoeyNMT's compact and simple code base. On top of
JoeyNMT'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 to
prior implementations, JoeyS2T performs competitively on English speech
recognition and English-to-German speech translation benchmarks. The
implementation is accompanied by a walk-through tutorial and available on
https://github.com/may-/joeys2t.
