A Flexible Speech Distortion Weighted Multi-Channel Wiener Filter for Noise Reduction in Hearing Aids

K. Ngo, M. Moonen, Søren Holdt Jensen, J. Wouters

Research output: Contribution to journalConference article in JournalResearchpeer-review

4 Citations (Scopus)
315 Downloads (Pure)

Abstract

In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a flexible weighting factor. A typical SDW-MWF uses a fixed weighting factor to trade-off between noise reduction and speech distortion without taking speech presence or speech absence into account. Consequently, the improvement in noise reduction comes at the cost of a higher speech distortion since the speech dominant segments and the noise dominant segments are weighted equally. Based on a two-state speech model with a noise-only and a speech+noise state, a solution is introduced that allows for a more flexible trade-off between noise reduction and speech distortion. Experimental results with hearing aid scenarios demonstrate that the proposed SDW-MWF incorporating the flexible weighting factor improves the signal-to-noise-ratio with lower speech distortion compared to a typical SDW-MWF and the SDW-MWF incorporating the conditional speech presence probability (SPP).
Original languageEnglish
JournalI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Pages (from-to)2528 - 2531
Number of pages4
ISSN1520-6149
DOIs
Publication statusPublished - 2011
Event International Conference on Acoustics, Speech and Signal Processing - Prag, Czech Republic
Duration: 22 May 201127 May 2011

Conference

Conference International Conference on Acoustics, Speech and Signal Processing
CountryCzech Republic
CityPrag
Period22/05/201127/05/2011

Cite this

@inproceedings{033e5c1c89544138ba39c57170514c2e,
title = "A Flexible Speech Distortion Weighted Multi-Channel Wiener Filter for Noise Reduction in Hearing Aids",
abstract = "In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a flexible weighting factor. A typical SDW-MWF uses a fixed weighting factor to trade-off between noise reduction and speech distortion without taking speech presence or speech absence into account. Consequently, the improvement in noise reduction comes at the cost of a higher speech distortion since the speech dominant segments and the noise dominant segments are weighted equally. Based on a two-state speech model with a noise-only and a speech+noise state, a solution is introduced that allows for a more flexible trade-off between noise reduction and speech distortion. Experimental results with hearing aid scenarios demonstrate that the proposed SDW-MWF incorporating the flexible weighting factor improves the signal-to-noise-ratio with lower speech distortion compared to a typical SDW-MWF and the SDW-MWF incorporating the conditional speech presence probability (SPP).",
author = "K. Ngo and M. Moonen and Jensen, {S{\o}ren Holdt} and J. Wouters",
year = "2011",
doi = "10.1109/ICASSP.2011.5946999",
language = "English",
pages = "2528 -- 2531",
journal = "I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings",
issn = "1520-6149",
publisher = "IEEE Signal Processing Society",

}

A Flexible Speech Distortion Weighted Multi-Channel Wiener Filter for Noise Reduction in Hearing Aids. / Ngo, K.; Moonen, M.; Jensen, Søren Holdt; Wouters, J.

In: I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, 2011, p. 2528 - 2531.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - A Flexible Speech Distortion Weighted Multi-Channel Wiener Filter for Noise Reduction in Hearing Aids

AU - Ngo, K.

AU - Moonen, M.

AU - Jensen, Søren Holdt

AU - Wouters, J.

PY - 2011

Y1 - 2011

N2 - In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a flexible weighting factor. A typical SDW-MWF uses a fixed weighting factor to trade-off between noise reduction and speech distortion without taking speech presence or speech absence into account. Consequently, the improvement in noise reduction comes at the cost of a higher speech distortion since the speech dominant segments and the noise dominant segments are weighted equally. Based on a two-state speech model with a noise-only and a speech+noise state, a solution is introduced that allows for a more flexible trade-off between noise reduction and speech distortion. Experimental results with hearing aid scenarios demonstrate that the proposed SDW-MWF incorporating the flexible weighting factor improves the signal-to-noise-ratio with lower speech distortion compared to a typical SDW-MWF and the SDW-MWF incorporating the conditional speech presence probability (SPP).

AB - In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a flexible weighting factor. A typical SDW-MWF uses a fixed weighting factor to trade-off between noise reduction and speech distortion without taking speech presence or speech absence into account. Consequently, the improvement in noise reduction comes at the cost of a higher speech distortion since the speech dominant segments and the noise dominant segments are weighted equally. Based on a two-state speech model with a noise-only and a speech+noise state, a solution is introduced that allows for a more flexible trade-off between noise reduction and speech distortion. Experimental results with hearing aid scenarios demonstrate that the proposed SDW-MWF incorporating the flexible weighting factor improves the signal-to-noise-ratio with lower speech distortion compared to a typical SDW-MWF and the SDW-MWF incorporating the conditional speech presence probability (SPP).

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JF - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

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