activity
20232026
most citedMSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2026

From Empathy to Personalized Empathy: Adapting Empathetic Strategies to Individual Users

Wuqiang Zheng, Chengbing Wang, Yilin Yang +6

As Large Language Models (LLMs) are increasingly deployed in long-term interactions with users, empathy has become an increasingly important capability. However, existing research…

cs.CV2025

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset

Vasu Agrawal, Akinniyi Akinyemi, Kathryn Alvero +81

Human communication involves a complex interplay of verbal and nonverbal signals, essential for conveying meaning and achieving interpersonal goals. To develop socially intelligent…

cs.CL20241 cited

MSLM-S2ST: A Multitask Speech Language Model for Textless Speech-to-Speech Translation with Speaker Style Preservation

Yifan Peng, Ilia Kulikov, Yilin Yang +4

There have been emerging research interest and advances in speech-to-speech translation (S2ST), translating utterances from one language to another. This work proposes Multitask Sp…

cs.CL2024

An Empirical Study of Speech Language Models for Prompt-Conditioned Speech Synthesis

Yifan Peng, Ilia Kulikov, Yilin Yang +4

Speech language models (LMs) are promising for high-quality speech synthesis through in-context learning. A typical speech LM takes discrete semantic units as content and a short u…

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…