2 papers
eess.AS2026
SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement
Xingchen Li, Hanke Xie, Ziqian Wang +4
Generative Universal Speech Enhancement (USE) methods aim to leverage generative models to improve speech quality under various types of distortions. However, existing generative s…
cs.CL2025
WEST: LLM based Speech Toolkit for Speech Understanding, Generation, and Interaction
Binbin Zhang, Chengdong Liang, Shuai Wang +8
In this paper, we present WEST(WE Speech Toolkit), a speech toolkit based on a large language model (LLM) for speech understanding, generation, and interaction. There are three key…