Jinhua Liang
Machine learning, signal processing, audio understanding.
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Adapting Language-Audio Models as Few-Shot Audio Learners
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This paper gets accepted by INTERSPEECH 2023.
Learning from Taxonomy: Multi-label Few-shot Classification for Everyday Sound Recognition
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This paper is in peer review.
Channel Compression: Rethinking Information Redundancy Among Channels in CNN Architecture
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This paper is accepted by IEEE Access.
Research on efficient acoustic scene recognition based on deep learning
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The goal is to explore high-performance acoustic scene classification (ASC) technologies at a low computational cost.