• DocumentCode
    1535202
  • Title

    Microwave Human Vocal Vibration Signal Detection Based on Doppler Radar Technology

  • Author

    Lin, Chien-San ; Chang, Sheng-Fuh ; Chang, Chia-Chan ; Lin, Chun-Chi

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • Volume
    58
  • Issue
    8
  • fYear
    2010
  • Firstpage
    2299
  • Lastpage
    2306
  • Abstract
    A speech radar system is presented for extracting speech information from the vocal vibration signal of a human subject. Due to the tiny glottis motion of several millimeters, a coherent homodyne demodulator with high sensitivity is developed to detect reflected radio signal, phase modulated by the vibrating vocal cords. The signal detection quality and system circuit design are described. Measurements of vowels and words, both with the speech radar system and the conventional acoustic microphone system, were conducted and compared. The essential speech information can be reliably obtained from the proposed speech radar, making it more appealing for speech applications in high background acoustic noise environment.
  • Keywords
    Doppler radar; acoustic signal detection; speech recognition; vibrations; Doppler radar technology; acoustic microphone system; background acoustic noise environment; coherent homodyne demodulator; microwave human vocal vibration signal detection; reflected radio signal detection; speech information extraction; speech radar system; system circuit design; tiny glottis motion; vibrating vocal cords; Acoustic signal detection; Data mining; Demodulation; Doppler radar; Human voice; Microwave technology; Motion detection; Radar detection; Signal detection; Speech enhancement; Coherent demodulation; Doppler radar; glottis; homodyne demodulation; vocal cords;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/TMTT.2010.2052968
  • Filename
    5510008