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Please use this identifier to cite or link to this item: https://hdl.handle.net/10119/9957

Title: Psychoacoustically-motivated adaptive β-order generalized spectral subtraction for cochlear implant patients
Authors: Li, Junfeng
Fu, Qian-Jie
Jiang, Hui
Akagi, Masato
Keywords: Speech intelligibility
Band-importance function
Adaptive β-order GSS
Cochlear implant
Issue Date: 2009-04
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. (ICASSP 2009)
Start page: 4665
End page: 4668
DOI: 10.1109/ICASSP.2009.4960671
Abstract: Many cochlear implant (CI) users are able to understand speech in quiet listening conditions, however, CI users' speech recognition deteriorates rapidly as the level of background noise increases. To make CI more applicable in reallife environments, noise reduction is needed in CI processor. Recently, we presented a psychoacoustically-motivated adaptive β-order generalized spectral subtraction (GSS) which deals with the weakness of the traditional SS algorithms. To apply this adaptive β-order GSS into CI processor, in this paper, we investigate the effects of noise estimation approaches and residual noise components for the proposed adaptive β-order GSS. Word-in-sentence recognition in steady white noise and speech babble noise was measured in four CI users. Experimental results showed that 1) noise estimation significantly affected performance of the proposed algorithm, 2) the algorithm with the least residual noise components was preferred by CI subjects, and 3) the proposed psychoacoustically-motivated adaptive β-order GSS outperformed the traditional SS algorithms.
Rights: Copyright © 2009 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. (ICASSP 2009), 2009, 4665-4668. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
URI: https://hdl.handle.net/10119/9957
Material Type: publisher
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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