Blind reverberation energy estimation using exponential averaging with attack and release time constants for hearing aids

Kotoyo Nozaki*, Yusuke Ikeda, Yasuhiro Oikawa, Yoh ichi Fujisaka, Masahiro Sunohara

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    Abstract

    Dereverberation signal processing is necessary for hearing-aid systems because reverberation degrades speech intelligibility in reverberant environments. In general, hearing-aid systems require low computational cost and real-time signal processing. The spectral subtraction (SS) method is a simple and frequently used technique which is used not only for noise-reduction but for dereverberation as well. To perform dereverberation methods based on SS for hearing aids, the reverberation energy must be estimated or measured. In this paper, the SS-based blind estimation of reverberation energy in a single-channel speech signal is proposed by using exponential averaging with attack and release time constants. The estimation error, which is the difference between the true and estimated reverberation energy, was used for evaluation. The estimation error of the proposed method was compared with the results of the method proposed by Lebart et al., which is a well-known non-blind SS-based dereverberation method. According to the results, the reverberation energy was more accurately estimated when the reverberation time was longer than 0.6 s, and the estimation error of the proposed method was approximately half of that of the well-known non-blind method by Lebart.

    Original languageEnglish
    Pages (from-to)106-113
    Number of pages8
    JournalApplied Acoustics
    Volume142
    DOIs
    Publication statusPublished - 2018 Dec 15

    Keywords

    • Blind estimation
    • Exponential averaging
    • Hearing aids
    • Reverberant speech
    • Spectral subtraction

    ASJC Scopus subject areas

    • Acoustics and Ultrasonics

    Fingerprint

    Dive into the research topics of 'Blind reverberation energy estimation using exponential averaging with attack and release time constants for hearing aids'. Together they form a unique fingerprint.

    Cite this