Research
Advancing how machines understand and generate human language across speech, text, and translation.
Talks and presentations from the International Workshop on Spoken Language Translation (IWSLT) 2016. IWSLT is an annual workshop on annual scientific workshop on Spoken Language Translation and related technologies (e.g., Automated Speech Recognition, Machine Translation,…
In the last two years, attentional-sequence-to-sequence neural models have become the state-of-the-art in machine translation, far surpassing the accuracy phrasal translation systems of in many scenarios. However, these Neural Machine Translation (NMT) systems are not…
This project aims to develop new tools for phonetics research on large speech corpora without requiring traditional phonetic annotations by humans. The idea is to adapt tools from speech recognition to replace the costly and time-consuming…
