papers

Publications (16)

cs.SD2026

WQ-Fusion: Dynamic Gated Attention for Cross-Domain Audio Representation

Mingda Lin, Lei Ding, Xinyue Zhou +6

While pre-trained models excel in specialized tasks, learning universal representations across diverse acoustic domains remains challenging. To address this, we propose WQ-Fusion,…

eess.AS2026

Joint Learning of Covariance Estimation and White Noise Gain for Robust MVDR Beamforming

Yongyi Deng, Hanchen Pei, Jianbo Ma +3

The minimum variance distortionless response (MVDR) beamformer is widely used for multichannel speech enhancement due to strong noise suppression while preserving target signals. I…

eess.AS2025

Advances in Microphone Array Processing and Multichannel Speech Enhancement

Gongping Huang, Jesper R. Jensen, Jingdong Chen +5

This paper reviews pioneering works in microphone array processing and multichannel speech enhancement, highlighting historical achievements, technological evolution, commercializa…

eess.AS2025

Spatial-Filter-Bank-Based Neural Method for Multichannel Speech Enhancement

Tianqin Zheng, Jilu Jin, Hanchen Pei +3

The performance of deep learning-based multi-channel speech enhancement methods often deteriorates when the geometric parameters of the microphone array change. Traditional approac…

cs.SD2025

Online neural fusion of distortionless differential beamformers for robust speech enhancement

Yuanhang Qian, Kunlong Zhao, Jilu Jin +4

Fixed beamforming is widely used in practice since it does not depend on the estimation of noise statistics and provides relatively stable performance. However, a single beamformer…

eess.AS2026

A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic

Jing Yang, Shuqing Zhang, Yongyi Deng +5

Accurate phoneme recognition is pivotal for mispronunciation detection and diagnosis (MDD) in modern standard Arabic (MSA), yet remains constrained by data scarcity and the synthet…