8 citations · 19 across the 15 of their papers we have counts for
16 papers
A Directional-Derivative-Constrained Method for Continuously Steerable Differential Beamformers with Uniform Circular Arrays
Tiantian Xiong, Yongyi Deng, Kunlong Zhao +5
Differential microphone arrays offer a promising solution for far-field acoustic signal acquisition due to their high spatial directivity and compact array structure. A key challen…
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…
Independent low-rank matrix analysis based on the Sinkhorn divergence source model for blind source separation
Jianyu Wang, Shanzheng Guan, Jingdong Chen +1
The so-called independent low-rank matrix analysis (ILRMA) has demonstrated a great potential for dealing with the problem of determined blind source separation (BSS) for audio and…
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction
Shilong Wu, Chenxi Wang, Hang Chen +13
Previous Multimodal Information based Speech Processing (MISP) challenges mainly focused on audio-visual speech recognition (AVSR) with commendable success. However, the most advan…
Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification
Yiqian Yang, Zhengqiao Zhao, Qian Wang +2
Existing approaches to modeling associations between visual stimuli and brain responses are facing difficulties in handling between-subject variance and model generalization. Inspi…
An Anchor-Point Based Image-Model for Room Impulse Response Simulation with Directional Source Radiation and Sensor Directivity Patterns
Chao Pan, Lei Zhang, Yilong Lu +4
The image model method has been widely used to simulate room impulse responses and the endeavor to adapt this method to different applications has also piqued great interest over t…
AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario
Yihui Fu, Luyao Cheng, Shubo Lv +10
In this paper, we present AISHELL-4, a sizable real-recorded Mandarin speech dataset collected by 8-channel circular microphone array for speech processing in conference scenario.…
Affine Combination of Diffusion Strategies over Networks
Danqi Jin, Jie Chen, Cedric Richard +2
Diffusion adaptation is a powerful strategy for distributed estimation and learning over networks. Motivated by the concept of combining adaptive filters, this work proposes a comb…
Partial AUC optimization based deep speaker embeddings with class-center learning for text-independent speaker verification
Zhongxin Bai, Xiao-Lei Zhang, Jingdong Chen
Deep embedding based text-independent speaker verification has demonstrated superior performance to traditional methods in many challenging scenarios. Its loss functions can be gen…
Speaker Verification By Partial AUC Optimization With Mahalanobis Distance Metric Learning
Zhongxin Bai, Xiao-Lei Zhang, Jingdong Chen
Receiver operating characteristic (ROC) and detection error tradeoff (DET) curves are two widely used evaluation metrics for speaker verification. They are equivalent since the lat…
End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking
Xingjian Du, Mengyao Zhu, Xuan Shi +3
Recently, phase processing is attracting increasinginterest in speech enhancement community. Some researchersintegrate phase estimations module into speech enhancementmodels by usi…
Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS
Danqi Jin, Jie Chen, Cedric Richard +1
Group zero-attracting LMS and its reweighted form have been proposed for addressing system identification problems with structural group sparsity in the parameters to estimate. Bot…