• DocumentCode
    1825835
  • Title

    The estimation of fundamental frequency of speech using microphone array

  • Author

    Tanigawa, Shinichi ; Kikuchi, Takafumi ; Yamaoka, Tateo ; Hamada, Nozomu

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    24-27 Oct. 1999
  • Firstpage
    1115
  • Abstract
    In this paper we propose a simple and robust method for estimating the fundamental frequency of speech when multiple speech signals and background noise exist simultaneously. The method can be realized by using delay-sum beamforming and blocking processing, such as blocking matrix operation of the generalized sidelobe canceller (GSC), and it is based on the difference of the output harmonic components of those two processing. The proposed method is shown to estimate the fundamental frequency of the desired speech effectively under the severe environmental conditions. After the estimation, the delay-sum beamformer output is processed with a comb filter to extract the desired speech.
  • Keywords
    acoustic transducer arrays; array signal processing; comb filters; echo suppression; frequency estimation; microphones; speech processing; background noise; blocking matrix operation; blocking processing; comb filter; delay-sum beamformer output; delay-sum beamforming; fundamental frequency; generalized sidelobe canceller; microphone array; multiple speech signals; output harmonic components; speech; Acoustic noise; Array signal processing; Delay estimation; Frequency estimation; Microphone arrays; Power harmonic filters; Speech analysis; Speech enhancement; Speech processing; Speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5700-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1999.831882
  • Filename
    831882