182 citations · 667 across the 40 of their papers we have counts for
10 papers · 1 filter
Facebook AI's WMT20 News Translation Task Submission
Peng-Jen Chen, Ann Lee, Changhan Wang +4
This paper describes Facebook AI's submission to WMT20 shared news translation task. We focus on the low resource setting and participate in two language pairs, Tamil <-> English a…
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
Hang Le, Juan Pino, Changhan Wang +3
We introduce dual-decoder Transformer, a new model architecture that jointly performs automatic speech recognition (ASR) and multilingual speech translation (ST). Our models are ba…
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models
Xian Li, Changhan Wang, Yun Tang +6
We present a simple yet effective approach to build multilingual speech-to-text (ST) translation by efficient transfer learning from pretrained speech encoder and text decoder. Our…
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks
Yun Tang, Juan Pino, Changhan Wang +2
Attention-based sequence-to-sequence modeling provides a powerful and elegant solution for applications that need to map one sequence to a different sequence. Its success heavily r…
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…
SimulEval: An Evaluation Toolkit for Simultaneous Translation
Xutai Ma, Mohammad Javad Dousti, Changhan Wang +2
Simultaneous translation on both text and speech focuses on a real-time and low-latency scenario where the model starts translating before reading the complete source input. Evalua…
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…
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
Changhan Wang, Juan Pino, Jiatao Gu
Transfer learning from high-resource languages is known to be an efficient way to improve end-to-end automatic speech recognition (ASR) for low-resource languages. Pre-trained or j…
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…