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Jilu Jin

11 accepted papers

2026

FORWARD CONVOLUTIVE PREDICTION FOR FRAME ONLINE MONAURAL SPEECH DEREVERBERATION BASED ON KRONECKER PRODUCT DECOMPOSITION

ICASSP 2026poster

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 systems. Among existing approaches, forward convolutional prediction (FCP) has recently attracted attention. It typicall…

Cited by 0SourcePDFScholar
2026

ONLINE NEURAL FUSION OF DISTORTIONLESS DIFFERENTIAL BEAMFORMERS FOR ROBUST SPEECH ENHANCEMENT

ICASSP 2026poster

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 cannot adapt to varying acoustic conditions, which limits its interference suppression capability. To address this, ada…

Cited by 0SourcePDFScholar
2025

DOA Estimation Based on Enhanced SRP-MVDR Using Kronecker Product Decomposition for Large Rectangular Microphone Arrays

ICASSP 2025accepted

Direction-of-arrival (DOA) estimation is a key process in microphone array systems. The steered response power-based minimum variance distortionless response (SRP-MVDR) method performs very well in challenging acoustic environments but suffers from exponential complexity as the number of microphones…

Cited by 0SourceScholar
2025

Data-Driven White Noise Gain Constrained Robust Superdirective Beamformer for Speech Enhancement

ICASSP 2025accepted

Superdirective beamformers are highly effective at suppressing directional interference and diffuse noise, but their practical use is often constrained by the problem of white noise amplification. Robust superdirective beamforming methods typically address this by imposing a constraint on the white…

Cited by 0SourceScholar
2025

Design and Optimization of Superdirective Beamforming and Post-Filtering for Speech Enhancement

ICASSP 2025accepted

Superdirective beamformers, used with small microphone arrays, are highly attractive due to their high directivity and frequency-invariant beampatterns, making them well-suited for processing broadband acoustic and speech signals. However, these beamformers are very sensitive to array imperfections…

Cited by 0SourceScholar
2025

Design of Robust Differential Beamformers with Microphone Arrays of Arbitrary Planar Geometry

ICASSP 2025accepted

Differential microphone arrays (DMAs) have garnered significant attention in recent research and development due to their high directivity and frequency-invariant beampatterns. However, DMAs frequently encounter substantial white noise amplification, which limits their practical applications. This p…

Cited by 0SourceScholar
2025

Microphone Array Beamforming for Speech Enhancement Based on Dynamic Mode Decomposition

ICASSP 2025accepted

Microphone array beamforming is widely used to extract desired speech signals from noisy environments. While most research in this area focuses on utilizing spatial information, less attention is given to the intrinsic physical mechanisms underlying microphone array observations. This paper aims to…

Cited by 4SourceScholar
2025

On the Design of Low-Rank Differential Beamformers with Nonuniform Linear Microphone Arrays

ICASSP 2025accepted

Kronecker product beamforming is an effective technique for designing beamformers with nonuniform linear arrays (NULAs). However, current techniques are restricted to NULAs with specific configurations, where the steering vector of the array is represented as a Kronecker product of steering vectors…

Cited by 0SourceScholar
2024

Beamforming Through Online Convex Combination of Differential Beamformers

ICASSP 2024accepted

Thanks to their high directivity, compact size, and reliable performance, differential microphone arrays (DMAs) have attracted great interest from both industry and academia as they have demonstrated great potential to be used in a wide range of applications for high-fidelity speech acquisition. Nev…

Cited by 0SourceScholar
2024

On the Design of Planar Differential Microphone Arrays with Specified Beamwidth or Sidelobe Level

ICASSP 2024accepted

This paper investigates the problem of designing differential beam-formers with planar microphone arrays to achieve not only the desired target directivity pattern but also control the beamwidth (BW) or sidelobe level (SLL). We first discuss the target directivity patterns and express the Dolph-Cheb…

Cited by 0SourceScholar
2019

Design of Optimal Linear Differential Microphone Arrays Based Array Geometry Optimization

ICASSP 2019accepted

This paper presents a method to design optimal linear differential microphone arrays (DMAs) by optimizing the array geometry. By constraining the DMA beamformer to achieve a given target value of the directivity factor (DF) with a specified target frequency-invariant beampattern while achieving also…

Cited by 0SourceScholar