Analysis of Beamformer Directed Single-Channel Noise Reduction System for Hearing Aid Applications

Jesper Jensen, Michael Syskind Pedersen

Research output: Contribution to journalConference article in JournalResearchpeer-review

9 Citations (Scopus)

Abstract

We study multi-microphone noise reduction systems consisting of a beamformer and a single-channel (SC) noise reduction stage. In particular, we present and analyse a maximum likelihood (ML) method for jointly estimating the target and noise power spectral densities (psd's) entering the SC filter. We show that the estimators are minimum variance and unbiased, and provide closed-form expressions for their mean-square error (MSE). Furthermore, we show that the MSE of the noise psd estimator is particularly simple: it is independent of target signal characteristics, frequency, and microphone locations. In a hearing aid context, we analyze the performance of the estimators as a function of target angle-of-arrival and frequency. Finally, we demonstrate the advantage of the proposed method in a hearing aid situation with a target speaker in large-crowd noise.
Original languageEnglish
JournalI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Pages (from-to)5728 - 5732
ISSN1520-6149
DOIs
Publication statusPublished - 2015
Event40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015 - Brisbane, Australia
Duration: 19 Apr 201524 Apr 2015
Conference number: 2015

Conference

Conference40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015
Number2015
CountryAustralia
CityBrisbane
Period19/04/201524/04/2015

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Hearing aids
Microphones
Noise abatement
Mean square error
Power spectral density
Maximum likelihood

Cite this

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title = "Analysis of Beamformer Directed Single-Channel Noise Reduction System for Hearing Aid Applications",
abstract = "We study multi-microphone noise reduction systems consisting of a beamformer and a single-channel (SC) noise reduction stage. In particular, we present and analyse a maximum likelihood (ML) method for jointly estimating the target and noise power spectral densities (psd's) entering the SC filter. We show that the estimators are minimum variance and unbiased, and provide closed-form expressions for their mean-square error (MSE). Furthermore, we show that the MSE of the noise psd estimator is particularly simple: it is independent of target signal characteristics, frequency, and microphone locations. In a hearing aid context, we analyze the performance of the estimators as a function of target angle-of-arrival and frequency. Finally, we demonstrate the advantage of the proposed method in a hearing aid situation with a target speaker in large-crowd noise.",
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Analysis of Beamformer Directed Single-Channel Noise Reduction System for Hearing Aid Applications. / Jensen, Jesper; Pedersen, Michael Syskind.

In: I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 2015, p. 5728 - 5732.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Analysis of Beamformer Directed Single-Channel Noise Reduction System for Hearing Aid Applications

AU - Jensen, Jesper

AU - Pedersen, Michael Syskind

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AB - We study multi-microphone noise reduction systems consisting of a beamformer and a single-channel (SC) noise reduction stage. In particular, we present and analyse a maximum likelihood (ML) method for jointly estimating the target and noise power spectral densities (psd's) entering the SC filter. We show that the estimators are minimum variance and unbiased, and provide closed-form expressions for their mean-square error (MSE). Furthermore, we show that the MSE of the noise psd estimator is particularly simple: it is independent of target signal characteristics, frequency, and microphone locations. In a hearing aid context, we analyze the performance of the estimators as a function of target angle-of-arrival and frequency. Finally, we demonstrate the advantage of the proposed method in a hearing aid situation with a target speaker in large-crowd noise.

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