3 papers
cs.SD2025
SLM-TTA: A Framework for Test-Time Adaptation of Generative Spoken Language Models
Yuan-Kuei Wu, Yang Liu, Yiteng Huang +9
Spoken Language Models (SLMs) are increasingly central to modern speech-driven applications, but performance degrades under acoustic shift - real-world noise, reverberation, and mi…
eess.AS2025
Effective Integration of KAN for Keyword Spotting
Anfeng Xu, Biqiao Zhang, Shuyu Kong +4
Keyword spotting (KWS) is an important speech processing component for smart devices with voice assistance capability. In this paper, we investigate if Kolmogorov-Arnold Networks (…
cs.CL2024
Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning
Zhenyu Wang, Shuyu Kong, Li Wan +6
Existing keyword spotting (KWS) systems primarily rely on predefined keyword phrases. However, the ability to recognize customized keywords is crucial for tailoring interactions wi…