most citedLLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

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

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2025

SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation

Zeyu Yang, Lai Wei, Roman Koshkin +2

This work proposes a grammar-based chunking strategy that segments input streams into semantically complete units by parsing dependency relations (e.g., noun phrase boundaries, ver…

cs.CL2024★ 1 cited

LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

Xi Chen, Songyang Zhang, Qibing Bai +2

We introduces LLaST, a framework for building high-performance Large Language model based Speech-to-text Translation systems. We address the limitations of end-to-end speech transl…