IESTAC: English-Italian Parallel Corpus for End-to-End Speech-to-Text Machine Translation

1 code implementation • EMNLP (nlpbt) 2020 • Giuseppe Della Corte, Sara Stymne

We discuss a set of methods for the creation of IESTAC: a English-Italian speech and text parallel corpus designed for the training of end-to-end speech-to-text machine translation models and publicly released as part of this work.

Dynamic Time Warping Machine Translation +3