Jeih-Weih Hung — accepted AI-conference papers

2026

MALEFA: MULTI-GRANULARITY LEARNING AND EFFECTIVE FALSE ALARM SUPPRESSION FOR ZERO-SHOT KEYWORD SPOTTING

Lo-Ya Li, Jeih-Weih Hung, Shih-Chieh Huang, Berlin Chen

ICASSP 2026poster

User-defined keyword spotting (KWS) without resorting to domain-specific pre-labeled training data is of fundamental importance in building adaptable and personalized voice interfaces. However, such systems are still faced with arduous challenges, including constrained computational resources and li…

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2024

What Do Neural Networks Listen to? Exploring the Crucial Bands in Speech Enhancement Using SINC-Convolution

Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen

ICASSP 2024accepted

This study introduces a reformed Sinc-convolution (Sincconv) framework tailored for the encoder component of deep networks for speech enhancement (SE). The reformed Sinc-conv, based on parametrized sinc functions as band-pass filters, offers notable advantages in terms of training efficiency, filter…

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