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 language | English |
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Title of host publication | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
Publisher | IEEE |
ISBN (Electronic) | 978-1-4577-0220-4 |
ISBN (Print) | 978-1-4577-0219-8 |
DOIs | |
Publication status | Published - 18 Oct 2016 |
Externally published | Yes |
Event | 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016 |
Conference
Conference | 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Abbreviated title | EMBC |
Country | United States |
City | Orlando |
Period | 16/08/16 → 20/08/16 |