• DocumentCode
    10887
  • Title

    Phase Estimation in Single Channel Speech Enhancement Using Phase Decomposition

  • Author

    Kulmer, Josef ; Mowlaee, Pejman

  • Author_Institution
    Dept. of Electr. Eng., Graz Univ. of Technol., Graz, Austria
  • Volume
    22
  • Issue
    5
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    598
  • Lastpage
    602
  • Abstract
    Conventional speech enhancement methods typically utilize the noisy phase spectrum for signal reconstruction. This letter presents a novel method to estimate the clean speech phase spectrum, given the noisy speech observation in single-channel speech enhancement. The proposed method relies on the phase decomposition of the instantaneous noisy phase spectrum followed by temporal smoothing in order to reduce the large variance of noisy phase, and consequently reconstructs an enhanced instantaneous phase spectrum for signal reconstruction. The effectiveness of the proposed method is evaluated in two ways: phase enhancement-only and by quantifying the additional improvement on top of the conventional amplitude enhancement scheme where noisy phase is often used in signal reconstruction. The instrumental metrics predict a consistent improvement in perceived speech quality and speech intelligibility when the noisy phase is enhanced using the proposed phase estimation method.
  • Keywords
    signal reconstruction; smoothing methods; speech enhancement; speech intelligibility; amplitude enhancement scheme; noisy speech observation; phase decomposition; phase estimation method; signal reconstruction; single-channel speech enhancement; speech intelligibility; speech phase spectrum; speech quality; temporal smoothing; Harmonic analysis; Noise measurement; Phase estimation; Smoothing methods; Speech; Speech enhancement; Time-frequency analysis; Phase decomposition; phase estimation; speech enhancement; speech quality; temporal smoothing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2365040
  • Filename
    6936313