• DocumentCode
    353597
  • Title

    Denoising of human speech using combined acoustic and EM sensor signal processing

  • Author

    Holzrichter, J.F.

  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    229
  • Abstract
    Low power EM radar-like sensors have made it possible to measure properties of the human speech production system in real-time, without acoustic interference. This greatly enhances the quality and quantify of information for many speech related applications (see Holzrichter, Burnett, Ng, and Lea, J. Acoustic. Soc. Am. 103 (1) 622 (1998)). By using combined glottal-EM-sensor-and acoustic-signals, segments of voiced, unvoiced, and no-speech can be reliably defined. Real-time de-noising filters can be constructed to remove noise from the user´s corresponding speech signal
  • Keywords
    acoustic filters; acoustic signal processing; digital filters; interference suppression; noise; speech enhancement; combined acoustic/EM sensor signal processing; combined glottal-EM-sensor-and acoustic-signals; human speech; low power EM radar-like sensors; real-time de-noising filters; speech signal; Acoustic measurements; Acoustic sensors; Humans; Interference; Noise reduction; Power measurement; Production systems; Real time systems; Sensor systems; Speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-6293-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2000.861925
  • Filename
    861925