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A decision-directed adaptive gain equalizer for assistive hearing instruments

A decision-directed adaptive gain equalizer for assistive hearing instruments
A decision-directed adaptive gain equalizer for assistive hearing instruments
Assistive hearing instruments have a significant impact on speech enhancement when the signal-to-noise ratio is low. These instruments are usually developed using the conventional adaptive gain equalizer (AGE), which has low computational complexity and low distortion in real-time speech enhancement. The conventional AGEs are intended to boost the speech segments of speech signals but they are incapable of suppressing noise segments. The overall speech quality of the assistive hearing instruments may be reduced, as the noise segments still cannot be filtered out. In this paper, a decision-directed AGE is proposed for assistive hearing instruments. It aims to overcome the limitation of the conventional AGE, which is capable only of boosting speech segments in noisy speech but incapable of suppressing noise segments. The proposed approach simultaneously boosts the speech segments and suppresses noise segments in noisy speech. Experimental results with different types of real-world noise indicate that the proposed method achieves better speech quality than does the conventional AGE. The resulting method provides an improved functionality for assistive hearing instruments.
adaptive gain equalizer (AGE), assistive hearing instruments, heuristic algorithms, particle swarm optimization (PSO), perceptual evaluation of speech quality (PESQ), single channel filter, speech booster, speech enhancement
0018-9456
1886-1895
Chan, Kit Yan
67a8ec8b-9059-48f1-924e-b9b98e1e7437
Low, Siow Yong
8fd903a4-b0b0-4c1c-9cc7-c2fe87109376
Nordholm, Sven
afe8b3b2-591c-4564-b5d0-ac5a82a73b5c
Yiu, Cedric Ka Fai
f61db65d-2214-48ad-af2d-65a8241a2ce5
Chan, Kit Yan
67a8ec8b-9059-48f1-924e-b9b98e1e7437
Low, Siow Yong
8fd903a4-b0b0-4c1c-9cc7-c2fe87109376
Nordholm, Sven
afe8b3b2-591c-4564-b5d0-ac5a82a73b5c
Yiu, Cedric Ka Fai
f61db65d-2214-48ad-af2d-65a8241a2ce5

Chan, Kit Yan, Low, Siow Yong, Nordholm, Sven and Yiu, Cedric Ka Fai (2014) A decision-directed adaptive gain equalizer for assistive hearing instruments. IEEE Transactions on Instrumentation and Measurement, 63 (8), 1886-1895. (doi:10.1109/TIM.2014.2302242).

Record type: Article

Abstract

Assistive hearing instruments have a significant impact on speech enhancement when the signal-to-noise ratio is low. These instruments are usually developed using the conventional adaptive gain equalizer (AGE), which has low computational complexity and low distortion in real-time speech enhancement. The conventional AGEs are intended to boost the speech segments of speech signals but they are incapable of suppressing noise segments. The overall speech quality of the assistive hearing instruments may be reduced, as the noise segments still cannot be filtered out. In this paper, a decision-directed AGE is proposed for assistive hearing instruments. It aims to overcome the limitation of the conventional AGE, which is capable only of boosting speech segments in noisy speech but incapable of suppressing noise segments. The proposed approach simultaneously boosts the speech segments and suppresses noise segments in noisy speech. Experimental results with different types of real-world noise indicate that the proposed method achieves better speech quality than does the conventional AGE. The resulting method provides an improved functionality for assistive hearing instruments.

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More information

Accepted/In Press date: 1 December 2013
Published date: 10 February 2014
Keywords: adaptive gain equalizer (AGE), assistive hearing instruments, heuristic algorithms, particle swarm optimization (PSO), perceptual evaluation of speech quality (PESQ), single channel filter, speech booster, speech enhancement
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 368034
URI: http://eprints.soton.ac.uk/id/eprint/368034
ISSN: 0018-9456
PURE UUID: 4baa3082-df2d-48ee-b8fb-7ba7e47d84c3

Catalogue record

Date deposited: 28 Aug 2014 10:27
Last modified: 14 Mar 2024 17:40

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Contributors

Author: Kit Yan Chan
Author: Siow Yong Low
Author: Sven Nordholm
Author: Cedric Ka Fai Yiu

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