• DocumentCode
    118643
  • Title

    Speech enhancement using modified magnitude and phase spectra

  • Author

    Hossain, S. Imam ; Hossain Chowdhury, Md Fahim ; Amin, Md Faijul ; Murase, K.

  • Author_Institution
    Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
  • fYear
    2014
  • fDate
    13-15 Feb. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Degrading the quality and intelligibility of the speech signals, background noise is a severe problem in communication and other speech related systems. In order to get rid of this problem, it is important to enhance the noisy speech signal mainly through noise reduction. All most all the speech enhancement methods modify the frequency domain spectrum of the noise-corrupted speech to suppress the noise. Although both magnitude and phase spectra together contain the frequency domain information, the traditional speech enhancement procedures either work with magnitude or phase spectrum. This paper presents a speech enhancement method that exploits both magnitude and phase spectra. Experimental studies of the proposed method exhibits better PESQ (Perceptual Estimation of Speech Quality) score than that of other existing methods. We also found better speech quality with our proposed method in several subjective experiments.
  • Keywords
    estimation theory; frequency-domain analysis; signal processing; speech enhancement; PESQ; background noise; frequency domain information; frequency domain spectrum; modified magnitude; noise reduction; noise-corrupted speech; noisy speech signal; perceptual estimation; phase spectra; speech enhancement; speech quality; speech signals; Noise measurement; Signal to noise ratio; Spectrogram; Speech; Speech enhancement; Magnitude Spectrum; Modified Magnitude and Phase Spectra (MMPS); Phase Spectrum; Speech Enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Information and Communication Technology (EICT), 2013 International Conference on
  • Conference_Location
    Khulna
  • Print_ISBN
    978-1-4799-2297-0
  • Type

    conf

  • DOI
    10.1109/EICT.2014.6777899
  • Filename
    6777899