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20182025
most citedScaling Speech Technology to 1,000+ Languages

116 citations · 226 across the 16 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

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★ 5 cited

Efficient Monotonic Multihead Attention

Xutai Ma, Anna Sun, Siqi Ouyang +2

We introduce the Efficient Monotonic Multihead Attention (EMMA), a state-of-the-art simultaneous translation model with numerically-stable and unbiased monotonic alignment estimati…

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★ 116 cited

Scaling Speech Technology to 1,000+ Languages

Vineel Pratap, Andros Tjandra, Bowen Shi +13

Expanding the language coverage of speech technology has the potential to improve access to information for many more people. However, current speech technology is restricted to ab…

cs.CL2023★ 1 cited

Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks

Yun Tang, Anna Y. Sun, Hirofumi Inaguma +5

Transducer and Attention based Encoder-Decoder (AED) are two widely used frameworks for speech-to-text tasks. They are designed for different purposes and each has its own benefits…