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

Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa

    研究成果: Conference contribution

    8 引用 (Scopus)

    抜粋

    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.

    元の言語English
    ホスト出版物のタイトル16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ126-130
    ページ数5
    ISBN(電子版)9781538681510
    DOI
    出版物ステータスPublished - 2018 11 2
    イベント16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Tokyo, Japan
    継続期間: 2018 9 172018 9 20

    Other

    Other16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018
    Japan
    Tokyo
    期間18/9/1718/9/20

    ASJC Scopus subject areas

    • Signal Processing
    • Acoustics and Ultrasonics

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  • これを引用

    Masuyama, Y., Yatabe, K., & Oikawa, Y. (2018). Model-based phase recovery of spectrograms via optimization on riemannian manifolds. : 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings (pp. 126-130). [8521404] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAENC.2018.8521404