91 citations · 164 across the 9 of their papers we have counts for
4 papers · 1 filter
fairseq S2T: Fast Speech-to-Text Modeling with fairseq
Changhan Wang, Yun Tang, Xutai Ma +4
We introduce fairseq S2T, a fairseq extension for speech-to-text (S2T) modeling tasks such as end-to-end speech recognition and speech-to-text translation. It follows fairseq's car…
CoVoST 2 and Massively Multilingual Speech-to-Text Translation
Changhan Wang, Anne Wu, Juan Pino
Speech translation has recently become an increasingly popular topic of research, partly due to the development of benchmark datasets. Nevertheless, current datasets cover a limite…
Self-Supervised Representations Improve End-to-End Speech Translation
Anne Wu, Changhan Wang, Juan Pino +1
End-to-end speech-to-text translation can provide a simpler and smaller system but is facing the challenge of data scarcity. Pre-training methods can leverage unlabeled data and ha…
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus
Changhan Wang, Juan Pino, Anne Wu +1
Spoken language translation has recently witnessed a resurgence in popularity, thanks to the development of end-to-end models and the creation of new corpora, such as Augmented Lib…