Zhuge_2016.pdf (96.89 kB)
Assessing the effect of noise-reduction to the intelligibility of low-pass filtered speech
conference contribution
posted on 2023-08-30, 14:33 authored by Huimin Zhuge, Lei Wang, Fei Chen, Dingchang ZhengGiven 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
4563-4566ISSN
1558-4615External DOI
Publisher
IEEEPlace of publication
OnlineTitle of book
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)ISBN
978-1-4577-0220-4Conference 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, FLEvent start date
2016-08-16Event finish date
2016-08-20File version
- Accepted version
Language
- eng