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Evaluation of a sparse coding shrinkage algorithm in normal hearing and hearing impaired listeners

Evaluation of a sparse coding shrinkage algorithm in normal hearing and hearing impaired listeners
Evaluation of a sparse coding shrinkage algorithm in normal hearing and hearing impaired listeners

Hearing impaired (HI) people struggle more than normal hearing (NH) listeners to understand speech in noisy environment. Previous evaluations of noise reduction algorithms on HI listeners have mainly concentrated on few algorithms like spectral subtraction or Wiener filtering. In this paper, a sparse coding shrinkage (SCS) noise reduction algorithm is proposed to compensate for some of the auditory deficits. The noise reduction performance by the SCS algorithm is compared with a Wiener filtering (CS-WF) approach, where the a priori signal-to-noise-ratio is estimated by the cepstral smoothing method. Speech recognition tests were performed to assess subjective intelligibility of SCS, CS-WF and noisy speech in babble noise and speech-shaped noise. Results show that both noise reduction algorithms have more potential to improve speech intelligibility in HI listeners than NH listeners; SCS provides more benefits than CS-WF for HI listeners especially in speech shaped noise.

hearing impaired, sparse coding shrinkage, speech intelligibility
1074-1078
Sang, Jinqiu
0265ab21-0646-4451-a874-022c92ca2dc2
Hu, Hongmei
619a5602-4865-4100-9be9-f31572a0953d
Zheng, Chengshi
53d6d95e-b6ec-4666-adcf-66e41386bffb
Li, Guoping
b791b5c0-52cb-4311-b0de-3d6b2f289835
Lutman, Mark E.
add34340-3241-4346-a668-8f51fdea6692
Bleeck, Stefan
c888ccba-e64c-47bf-b8fa-a687e87ec16c
Sang, Jinqiu
0265ab21-0646-4451-a874-022c92ca2dc2
Hu, Hongmei
619a5602-4865-4100-9be9-f31572a0953d
Zheng, Chengshi
53d6d95e-b6ec-4666-adcf-66e41386bffb
Li, Guoping
b791b5c0-52cb-4311-b0de-3d6b2f289835
Lutman, Mark E.
add34340-3241-4346-a668-8f51fdea6692
Bleeck, Stefan
c888ccba-e64c-47bf-b8fa-a687e87ec16c

Sang, Jinqiu, Hu, Hongmei, Zheng, Chengshi, Li, Guoping, Lutman, Mark E. and Bleeck, Stefan (2012) Evaluation of a sparse coding shrinkage algorithm in normal hearing and hearing impaired listeners. In Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. pp. 1074-1078 .

Record type: Conference or Workshop Item (Paper)

Abstract

Hearing impaired (HI) people struggle more than normal hearing (NH) listeners to understand speech in noisy environment. Previous evaluations of noise reduction algorithms on HI listeners have mainly concentrated on few algorithms like spectral subtraction or Wiener filtering. In this paper, a sparse coding shrinkage (SCS) noise reduction algorithm is proposed to compensate for some of the auditory deficits. The noise reduction performance by the SCS algorithm is compared with a Wiener filtering (CS-WF) approach, where the a priori signal-to-noise-ratio is estimated by the cepstral smoothing method. Speech recognition tests were performed to assess subjective intelligibility of SCS, CS-WF and noisy speech in babble noise and speech-shaped noise. Results show that both noise reduction algorithms have more potential to improve speech intelligibility in HI listeners than NH listeners; SCS provides more benefits than CS-WF for HI listeners especially in speech shaped noise.

Full text not available from this repository.

More information

Published date: 27 November 2012
Venue - Dates: 20th European Signal Processing Conference, EUSIPCO 2012, Romania, 2012-08-26 - 2012-08-30
Keywords: hearing impaired, sparse coding shrinkage, speech intelligibility

Identifiers

Local EPrints ID: 436061
URI: http://eprints.soton.ac.uk/id/eprint/436061
PURE UUID: 6a27417a-136b-4313-b01a-19d9cc196cee
ORCID for Stefan Bleeck: ORCID iD orcid.org/0000-0003-4378-3394

Catalogue record

Date deposited: 27 Nov 2019 17:30
Last modified: 18 Feb 2021 17:06

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Contributors

Author: Jinqiu Sang
Author: Hongmei Hu
Author: Chengshi Zheng
Author: Guoping Li
Author: Mark E. Lutman
Author: Stefan Bleeck ORCID iD

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