activity
20192023
most citedSeamlessM4T: Massively Multilingual & Multimodal Machine Translation

14 citations · 19 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2023

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.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.CL20225 cited

Speech-to-Speech Translation For A Real-world Unwritten Language

Peng-Jen Chen, Kevin Tran, Yilin Yang +13

We study speech-to-speech translation (S2ST) that translates speech from one language into another language and focuses on building systems to support languages without standard te…

cs.LG2019

Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant

Deepak Muralidharan, Justine Kao, Xiao Yang +8

Personal assistant AI systems such as Siri, Cortana, and Alexa have become widely used as a means to accomplish tasks through natural language commands. However, components in thes…

cs.LG2019

Active Learning for Domain Classification in a Commercial Spoken Personal Assistant

Xi C. Chen, Adithya Sagar, Justine T. Kao +5

We describe a method for selecting relevant new training data for the LSTM-based domain selection component of our personal assistant system. Adding more annotated training data fo…