A consolidated perspective on multimicrophone speech enhancement and source separation
Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …
commercial applications in devices as diverse as mobile phones, conference call systems …
Unsupervised vocal dereverberation with diffusion-based generative models
Removing reverb from reverberant music is a necessary technique to clean up audio for
downstream music manipulations. Reverberation of music contains two categories, natural …
downstream music manipulations. Reverberation of music contains two categories, natural …
Split Bregman approach to linear prediction based dereverberation with enforced speech sparsity
M Witkowski, K Kowalczyk - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
The recordings of speech in enclosures are corrupted by reverberation caused by multipath
wave propagation from the speaker to the distant microphones. In this letter, we address the …
wave propagation from the speaker to the distant microphones. In this letter, we address the …
Multichannel speech separation and enhancement using the convolutive transfer function
This paper addresses the problem of speech separation and enhancement from
multichannel convolutive and noisy mixtures, assuming known mixing filters. We propose to …
multichannel convolutive and noisy mixtures, assuming known mixing filters. We propose to …
Revisiting sparse ICA from a synthesis point of view: Blind Source Separation for over and underdetermined mixtures
F Feng, M Kowalski - Signal Processing, 2018 - Elsevier
This paper studies the existing links between two approaches of Independent Component
Analysis (ICA)–FastICA/projection pursuit and Infomax/Maximum likelihood estimation–and …
Analysis (ICA)–FastICA/projection pursuit and Infomax/Maximum likelihood estimation–and …
Audio source separation based on convolutive transfer function and frequency-domain lasso optimization
This paper addresses the problem of under-determined convolutive audio source separation
in a semi-oracle configuration where the mixing filters are assumed to be known. We …
in a semi-oracle configuration where the mixing filters are assumed to be known. We …
An EM algorithm for audio source separation based on the convolutive transfer function
This paper addresses the problem of audio source separation from (possibly under-
determined) multichannel convolutive mixtures. We propose a separation method based on …
determined) multichannel convolutive mixtures. We propose a separation method based on …
[PDF][PDF] 参数自适应调整的稀疏贝叶斯重构算法
夏建明， 杨俊安， 陈功 - 电子与信息学报, 2014 - edit.jeit.ac.cn
稀疏表示模型中的正则化参数由未知的噪声和稀疏度共同决定, 该参数的设置直接影响稀疏重构
性能的好坏. 然而目前稀疏表示问题优化求解算法或依靠主观, 或依靠相关先验信息 …
性能的好坏. 然而目前稀疏表示问题优化求解算法或依靠主观, 或依靠相关先验信息 …
Audio source separation into the wild
This review chapter is dedicated to multichannel audio source separation in a real-life
environment. We explore some of the major achievements in the field and discuss some of …
environment. We explore some of the major achievements in the field and discuss some of …
A general framework for incorporating time–frequency domain sparsity in multichannel speech dereverberation
Blind multichannel speech dereverberation methods based on multichannel linear
prediction (MCLP) estimate the dereverberated speech component without any knowledge …
prediction (MCLP) estimate the dereverberated speech component without any knowledge …