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Zunxian Liu

2 accepted papers

2025

Cross-Domain Few-Shot Open-Set Keyword Spotting Using Keyword Adaptation and Prototype Reprojection

Mingru Yang, Qianhua He, Jinxin Huang, Yongqiang Chen, Zunxian Liu, Yanxiong Li
ICASSP 2025accepted

Personalized keyword spotting (KWS) with few enrollment utterances remains an important problem over years. KWS remains a challenging task due to the following factors, including the scarcity of enrollment samples, speech variation in the open-set scenarios, and distributional gap between source and…

Cited by 0Source ↗Scholar ↗
2025

Deep Enhancement Spotting Network for Low-complexity Keyword Spotting in Noisy Environments

Yongqiang Chen, Qianhua He, Yanxiong Li, Zunxian Liu, Mingru Yang, Jinxin Huang
ICASSP 2025accepted

Keyword Spotting (KWS) is crucial for hands-free voice-activated systems, requiring a balance between accuracy and complexity, especially in noisy environments. While Speech Enhancement (SE) can improve KWS accuracy, existing methods often lack the ability to effectively utilize the rich features pr…

Cited by 0Source ↗Scholar ↗