A Constrained Maximum Likelihood Estimator of Speech and Noise Spectra with Application to Multi-Microphone Noise Reduction

Adel Zahedi, Michael Pedersen, Jan Østergaard, Lars Bramsløw, Thomas Christiansen, Jesper Jensen

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

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Abstract

One of the challenges with the implementation of multi-microphone noise reduction systems in practical applications lies in the need for the knowledge of the speech and noise covariance matrices. Recently, a method based on Maximum Likelihood (ML) estimation addressed this problem. Despite its relative success in practical setups, this method may suggest negative spectral components for the clean speech due to noise influences. In this paper, we suggest a new estimation technique that tackles this issue by enforcing a power constraint on the estimation problem. We compare the proposed method with the ML method both in synthetic and real-life scenarios using objective measures. The results suggest that the proposed method can improve speech quality without a loss of intelligibility.

Original languageEnglish
Title of host publicationICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Number of pages5
PublisherIEEE
Publication dateMay 2020
Pages6944-6948
Article number9053077
ISBN (Print)978-1-5090-6632-2
ISBN (Electronic)978-1-5090-6631-5
DOIs
Publication statusPublished - May 2020
EventICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Barcelona, Spain
Duration: 4 May 20208 May 2020

Conference

ConferenceICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
CountrySpain
CityBarcelona
Period04/05/202008/05/2020
SeriesICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN1520-6149

Keywords

  • Multichannel Wiener filter
  • hearing-assistive devices
  • maximum likelihood estimation
  • water filling

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