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20242026
most citedLLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2025

StressTransfer: Stress-Aware Speech-to-Speech Translation with Emphasis Preservation

Xi Chen, Yuchen Song, Satoshi Nakamura

We propose a stress-aware speech-to-speech translation (S2ST) system that preserves word-level emphasis by leveraging LLMs for cross-lingual emphasis conversion. Our method transla…

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…