activity
20222024
most citedSpeech-to-Speech Translation For A Real-world Unwritten Language

5 citations · 10 across the 8 of their papers we have counts for

collaborators

10 papers

eess.AS2024

DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models

Heng-Jui Chang, Hongyu Gong, Changhan Wang +2

Spoken language models (SLMs) have gained increasing attention with advancements in text-based, decoder-only language models. SLMs process text and speech, enabling simultaneous sp…

cs.CL2024

Investigating Decoder-only Large Language Models for Speech-to-text Translation

Chao-Wei Huang, Hui Lu, Hongyu Gong +4

Large language models (LLMs), known for their exceptional reasoning capabilities, generalizability, and fluency across diverse domains, present a promising avenue for enhancing spe…

cs.CL2024

Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation

Min-Jae Hwang, Ilia Kulikov, Benjamin Peloquin +3

In this paper, we propose a textless acoustic model with a self-supervised distillation strategy for noise-robust expressive speech-to-speech translation (S2ST). Recently proposed…

cs.CL2024

SeamlessExpressiveLM: Speech Language Model for Expressive Speech-to-Speech Translation with Chain-of-Thought

Hongyu Gong, Bandhav Veluri

Expressive speech-to-speech translation (S2ST) is a key research topic in seamless communication, which focuses on the preservation of semantics and speaker vocal style in translat…

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…