no code implementations • EMNLP (IWSLT) 2019 • Mattia Antonino Di Gangi, Robert Enyedi, Alessandra Brusadin, Marcello Federico
Our experimental results on a public speech translation data set show that adapting a model on a significant amount of parallel data including ASR transcripts is beneficial with test data of the same type, but produces a small degradation when translating clean text.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4