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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.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…

eess.AS2026

Robust Online Overdetermined Independent Vector Analysis Based on Bilinear Decomposition

Kang Chen, Xianrui Wang, Yichen Yang +6

Online blind source separation is essential for both speech communication and human-machine interaction. Among existing approaches, overdetermined independent vector analysis (Over…

eess.AS2025

Forward Convolutive Prediction for Frame Online Monaural Speech Dereverberation Based on Kronecker Product Decomposition

Yujie Zhu, Jilu Jin, Xueqin Luo +5

Dereverberation has long been a crucial research topic in speech processing, aiming to alleviate the adverse effects of reverberation in voice communication and speech interaction…

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…

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…