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
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period6/12/109/12/10

    Keywords

    • Hearing Aids
    • Low Power Design
    • Noise Reduction

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