Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids

Adam Kuklasiński, Simon Doclo, Søren Holdt Jensen, Jesper Jensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

34 Citations (Scopus)

Abstract

We propose a multi-channel Wiener filter for speech dereverberation in hearing aids. The proposed algorithm uses joint maximum likelihood estimation of the speech and late reverberation spectral variances, under the assumption that the late reverberant sound field is cylindrically isotropic. The dereverberation performance of the algorithm is evaluated using computer simulations with realistic hearing aid microphone signals including head-related effects. The algorithm is shown to work well with signals reverberated both by synthetic and by measured room impulse responses, achieving improvements in the order of 0.5 PESQ points and 5 dB frequency-weighted segmental SNR.
Original languageEnglish
Title of host publicationSignal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Number of pages5
PublisherIEEE Press
Publication date2014
Pages61-65
ISBN (Print)978-0-9928626-1-9
Publication statusPublished - 2014
Event22nd European Signal Processing Conference - Lisbon, Portugal
Duration: 1 Sept 20145 Sept 2014

Conference

Conference22nd European Signal Processing Conference
Country/TerritoryPortugal
CityLisbon
Period01/09/201405/09/2014
SeriesProceedings of the European Signal Processing Conference
ISSN2076-1465

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