Analysis and implementation of low-power perceptual multiband noise reduction for the hearing aids application

Cheng Wen Wei, Cheng Chun Tsai, Yi Fan Jiang, Tian-Sheuan Chang, Shyh-Jye Jou

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Traditional noise reduction designs provide good performance but suffer from high complexity and long latency, which limits their application to hearing aids. Targeted for strict low-power and low-latency requirement of completely-in-the-canal type hearing aids, this study analyses and implements a previously proposed sample-based perceptual multiband spectral subtraction with a multiplication-based entropy voice activity detection. Simulation results reveal that the authors design can provide similar speech quality as others, but with lower computational complexity and simple control effort. The corresponding core-based architecture design further exploits processing characteristics of the proposed approach to reduce power consumption with a sign-magnitude and a preprocessed input data reuse scheme. Chip measurement shows that the design only consumes 83.7μW at 0.6V operation with 90nm high threshold voltage (HVT) (high VT) standard cell library.

Original languageEnglish
Pages (from-to)516-525
Number of pages10
JournalIET Circuits, Devices and Systems
Volume8
Issue number6
DOIs
StatePublished - 1 Nov 2014

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