most citedSeamlessM4T: Massively Multilingual & Multimodal Machine Translation

14 citations · 20 across the 6 of their papers we have counts for

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cs.CL202314 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.CL20234 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.CL20231 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.CL2021

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Arun Babu, Changhan Wang, Andros Tjandra +10

This paper presents XLS-R, a large-scale model for cross-lingual speech representation learning based on wav2vec 2.0. We train models with up to 2B parameters on nearly half a mill…

cs.CL20211 cited

Textless Speech-to-Speech Translation on Real Data

Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne +8

We present a textless speech-to-speech translation (S2ST) system that can translate speech from one language into another language and can be built without the need of any text dat…