{"title":"Frequency domain multi-channel expectation maximization algorithm for audio background noise reduction","authors":"Jichi Deng, S. Godsill","doi":"10.1109/WASPAA.2013.6701859","DOIUrl":null,"url":null,"abstract":"In this paper we implement expectation maximization (EM) based methods in the short time Fourier transform (STFT) domain for background noise reduction in multi-channel systems. The models introduce a Wishart prior for the unknown signal covariance matrix. An EM algorithm is used to maximise the posterior probability for the clean signal, approaching a stationary point of the distribution with increasing iterations. The background noise is modelled as white and stationary in this initial work. The proposed methods are found to outperform a multi-channel Wiener filter in terms of residual noise artefacts and MSE for a small initial trial.","PeriodicalId":341888,"journal":{"name":"2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WASPAA.2013.6701859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we implement expectation maximization (EM) based methods in the short time Fourier transform (STFT) domain for background noise reduction in multi-channel systems. The models introduce a Wishart prior for the unknown signal covariance matrix. An EM algorithm is used to maximise the posterior probability for the clean signal, approaching a stationary point of the distribution with increasing iterations. The background noise is modelled as white and stationary in this initial work. The proposed methods are found to outperform a multi-channel Wiener filter in terms of residual noise artefacts and MSE for a small initial trial.
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