3 papers
eess.AS2026
GenTSE: Enhancing Target Speaker Extraction via a Coarse-to-Fine Generative Language Model
Haoyang Li, Xuyi Zhuang, Azmat Adnan +6
Language Model (LM)-based generative modeling has emerged as a promising direction for TSE, offering potential for improved generalization and high-fidelity speech. We propose GenT…
eess.AS2026
Aligning Generative Speech Enhancement with Perceptual Feedback
Haoyang Li, Nana Hou, Yuchen Hu +6
Language Model (LM)-based speech enhancement (SE) has recently emerged as a promising direction, but existing approaches predominantly rely on token-level likelihood objectives tha…
cs.CL2025
Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations
Yihao Wu, Tianrui Wang, Yizhou Peng +5
While biases in large language models (LLMs), such as stereotypes and cultural tendencies in outputs, have been examined and identified, their presence and characteristics in spoke…