activity
20182024
most citedLevenshtein Transformer

182 citations · 667 across the 40 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

5 papers · 2 filters

cs.CL2023★ 41 cited

Seamless: Multilingual Expressive and Streaming Speech Translation

Seamless Communication, Loïc Barrault, Yu-An Chung +62

Large-scale automatic speech translation systems today lack key features that help machine-mediated communication feel seamless when compared to human-to-human dialogue. In this wo…

cs.CL2023★ 14 cited

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Seamless Communication, Loïc Barrault, Yu-An Chung +65

What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed…

cs.CL2023★ 4 cited

MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation

Mohamed Anwar, Bowen Shi, Vedanuj Goswami +3

We introduce MuAViC, a multilingual audio-visual corpus for robust speech recognition and robust speech-to-text translation providing 1200 hours of audio-visual speech in 9 languag…

cs.CL2023★ 1 cited

A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translation

Wen-Chin Huang, Benjamin Peloquin, Justine Kao +6

Expressive speech-to-speech translation (S2ST) aims to transfer prosodic attributes of source speech to target speech while maintaining translation accuracy. Existing research in e…

cs.CL2023★ 7 cited

Pre-training for Speech Translation: CTC Meets Optimal Transport

Phuong-Hang Le, Hongyu Gong, Changhan Wang +3

The gap between speech and text modalities is a major challenge in speech-to-text translation (ST). Different methods have been proposed to reduce this gap, but most of them requir…