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

Huimin Zhuge, Lei Wang, Fei Chen, Dingchang Zheng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
PublisherIEEE
ISBN (Electronic)978-1-4577-0220-4
ISBN (Print)978-1-4577-0219-8
DOIs
Publication statusPublished - 18 Oct 2016
Externally publishedYes
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States
Duration: 16 Aug 201620 Aug 2016

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC
CountryUnited States
CityOrlando
Period16/08/1620/08/16

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Zhuge, H., Wang, L., Chen, F., & Zheng, D. (2016). Assessing the effect of noise-reduction to the intelligibility of low-pass filtered speech. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS IEEE. https://doi.org/10.1109/EMBC.2016.7591743