Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
This paper gets accepted by EUSIPCO 2025.
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WavCraft: Audio Editing and Generation with Large Language Models
This paper gets accepted by ICLR workshop on LLM agent.
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities
This paper is under peer review.
Adapting Language-Audio Models as Few-Shot Audio Learners
This paper gets accepted by INTERSPEECH 2023.
Learning from Taxonomy: Multi-label Few-shot Classification for Everyday Sound Recognition
This paper is accepted by ICASSP2024.
[Project launch] Everyday sound recognition with limited annotations
The goal is to explore general-proposed audio understanding in the limited annotations.
Channel Compression: Rethinking Information Redundancy Among Channels in CNN Architecture
This paper is accepted by IEEE Access.
Research on efficient acoustic scene recognition based on deep learning
The goal is to explore high-performance acoustic scene classification (ASC) technologies at a low computational cost.
Acoustic scene classification using deep cnn with fine-resolution feature
Accepted by Expert Systems with Applications.