• DocumentCode
    54552
  • Title

    STFT Phase Reconstruction in Voiced Speech for an Improved Single-Channel Speech Enhancement

  • Author

    Krawczyk, Michal ; Gerkmann, Timo

  • Author_Institution
    Dept. of Med. Phys., Univ. Oldenburg, Oldenburg, Germany
  • Volume
    22
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    1931
  • Lastpage
    1940
  • Abstract
    The enhancement of speech which is corrupted by noise is commonly performed in the short-time discrete Fourier transform domain. In case only a single microphone signal is available, typically only the spectral amplitude is modified. However, it has recently been shown that an improved spectral phase can as well be utilized for speech enhancement, e.g., for phase-sensitive amplitude estimation. In this paper, we therefore present a method to reconstruct the spectral phase of voiced speech from only the fundamental frequency and the noisy observation. The importance of the spectral phase is highlighted and we elaborate on the reason why noise reduction can be achieved by modifications of the spectral phase. We show that, when the noisy phase is enhanced using the proposed phase reconstruction, instrumental measures predict an increase of speech quality over a range of signal to noise ratios, even without explicit amplitude enhancement.
  • Keywords
    discrete Fourier transforms; microphones; speech enhancement; STFT spectral phase reconstruction; explicit amplitude enhancement; noise reduction; phase-sensitive amplitude estimation; short-time discrete Fourier transform domain; signal to noise ratio; single microphone signal; single-channel voiced speech enhancement; spectral amplitude; speech quality; Harmonic analysis; Noise; Noise measurement; Speech; Speech enhancement; Time-frequency analysis; Noise reduction; phase estimation; signal reconstruction; speech enhancement;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    2329-9290
  • Type

    jour

  • DOI
    10.1109/TASLP.2014.2354236
  • Filename
    6891278