9 papers
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,…
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…
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…
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…
Joint optimization of microphone array geometry, sensor directivity pattern, and beamforming parameters for linear superarrays
Yuanhang Qian, Xueqin Luo, Jilu Jin +3
Linear superarrays (LSAs) have been proposed to address the limited steering capability of conventional linear differential microphone arrays (LDMAs) by integrating omnidirectional…
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…
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…
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…
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…