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Assessing the effect of noise-reduction to the intelligibility of low-pass filtered speech

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conference contribution
posted on 2023-08-30, 14:33 authored by Huimin Zhuge, Lei Wang, Fei Chen, Dingchang Zheng
Given the fact that most hearing-impaired listeners have low-frequency residual hearing, the present work assessed the effect of applying commonly-used singlechannel noise-reduction (NR) algorithms to improve the intelligibility of low-pass filtered speech, which simulates the effect of understanding speech with low-frequency residual hearing of hearing-impaired patients. In addition, this study was performed with Mandarin speech, which is characterized by its significant contribution of information present in (low-frequency dominated) vowels to speech intelligibility. Mandarin sentences were corrupted by steady-state speech-shaped noise and processed by four types (i.e., subspace, statistical-modeling, spectral-subtractive, and Wiener-filtering) of single-channel NR algorithms. The processed sentences were played to normal-hearing listeners for recognition. Experimental results showed that existing single-channel NR algorithms were unable to improve the intelligibility of low-pass filtered Mandarin sentences. Wiener-filtering had the least negative influence to the intelligibility of low-pass filtered speech among the four types of single-channel NR algorithms examined.

History

Page range

4563-4566

ISSN

1558-4615

Publisher

IEEE

Place of publication

Online

Title of book

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

ISBN

978-1-4577-0220-4

Conference proceeding

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Name of event

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Location

Orlando, FL

Event start date

2016-08-16

Event finish date

2016-08-20

File version

  • Accepted version

Language

  • eng

Legacy posted date

2016-12-09

Legacy creation date

2016-12-04

Legacy Faculty/School/Department

ARCHIVED Faculty of Medical Science (until September 2018)

Note

: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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