Model-based phase recovery of spectrograms via optimization on riemannian manifolds

Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    9 Citations (Scopus)

    Abstract

    In acoustical signal processing, the importance of modifying the phase spectrogram has been shown. Recently, model-based phase recovery which is based on the sinusoidal model has been studied. Although their effectiveness has been proven, some of them deal with the phase in inflexible forms owing to the wrapping effect of phase. In addition, they need much pre-processing, including the estimation of the instantaneous frequency, which is not easy tasks. In order to overcome these issues, we propose a novel model-based phase recovery method which is formulated as an optimization over complex-valued phases. In the proposed method, the instantaneous frequency is not handled fixedly, which avoids the prior estimation of the instantaneous frequency. The technique of optimization on Riemannian manifolds is adopted for efficient computation. The proposed method is validated by noise reduction of audio signals.

    Original languageEnglish
    Title of host publication16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages126-130
    Number of pages5
    ISBN (Electronic)9781538681510
    DOIs
    Publication statusPublished - 2018 Nov 2
    Event16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Tokyo, Japan
    Duration: 2018 Sep 172018 Sep 20

    Other

    Other16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018
    CountryJapan
    CityTokyo
    Period18/9/1718/9/20

    Keywords

    • Gradient descent
    • Instantaneous frequency
    • Non-convex optimization
    • Phase derivative
    • Sinusoidal modeling

    ASJC Scopus subject areas

    • Signal Processing
    • Acoustics and Ultrasonics

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