Abstract
This paper presents a low complexity noise reduction method by a perceptual multiband spectral subtraction for CIC type hearing aids. The noisy speech is first perceptually decomposed by a 1/3 octave filter bank by ANSI S1.11, and the noise is estimated by an enhanced entropy based voice activity detection (VAD), and then noise is subtracted by a simple multiband spectral subtraction. Simulations show that under different environments the proposed algorithm averagely improves segmental SNR (Signal to Noise Ratio) and PESQ (Perceptual Evaluation of Speech Quality) by 6.27dB and 0.32, respectively, and performs better compared to the previous approach. In addition, informal listening test shows there is not musical noise in the processed speech.
| Original language | English |
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| Title of host publication | Proceedings of the 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 |
| Pages | 692-695 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2010 |
| Event | 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 - Kuala Lumpur, Malaysia Duration: 6 Dec 2010 → 9 Dec 2010 |
Publication series
| Name | IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS |
|---|
Conference
| Conference | 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 6/12/10 → 9/12/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Hearing Aids
- Low Power Design
- Noise Reduction
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