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