Shengchang Xiao — accepted AI-conference papers

2025

Debiased Training For Semi-supervised Sound Event Detection

Shengchang Xiao, Xueshuai Zhang, Pengyuan Zhang, Yonghong Yan

ICASSP 2025accepted

Recently, semi-supervised sound event detection has attracted increasing research interest due to the scarcity of labeled data. However, traditional semi-supervised learning methods can lead to training instability and confirmation bias because of potentially incorrect pseudo labels. To address this…

Cited by 0 Source ↗Scholar ↗

2023

Multi-Dimensional Frequency Dynamic Convolution with Confident Mean Teacher for Sound Event Detection

Shengchang Xiao, Xueshuai Zhang, Pengyuan Zhang

ICASSP 2023accepted

Recently, convolutional neural networks (CNNs) have been widely used in sound event detection (SED). However, traditional convolution is deficient in learning time-frequency domain representation of different sound events. To address this issue, we propose multi-dimensional frequency dynamic convolu…

Cited by 0 Source ↗Scholar ↗