Perceptual multiband spectral subtraction for noise reduction in hearing aids

Cheng Wen Wei*, Cheng Chun Tsai, Tian-Sheuan Chang, Shyh-Jye Jou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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 languageEnglish
Title of host publicationProceedings of the 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
Pages692-695
Number of pages4
DOIs
StatePublished - 1 Dec 2010
Event2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 - Kuala Lumpur, Malaysia
Duration: 6 Dec 20109 Dec 2010

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Conference

Conference2010 Asia Pacific Conference on Circuit and System, APCCAS 2010
CountryMalaysia
CityKuala Lumpur
Period6/12/109/12/10

Keywords

  • Hearing Aids
  • Low Power Design
  • Noise Reduction

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