• DocumentCode
    1337948
  • Title

    Speech/voice-band data classification for data traffic measurements in telephone-type systems

  • Author

    Benetazzo, Luigino ; Bertocco, Matteo ; Paglierani, P. ; Rizzi, E.

  • Author_Institution
    Dipt. di Elettronica e Inf., Padova Univ., Italy
  • Volume
    49
  • Issue
    2
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    413
  • Lastpage
    417
  • Abstract
    A noise-insensitive technique for the discrimination between speech and voice-band data transmissions over a telephone-type system is presented. The proposed procedure combines together the evaluation of some meaningful parameters extracted from the observed speech or data communication signal, with an analysis of the statistical moments associated with these parameters. In this way, the discrimination capability associated with the extracted parameters is enforced by the moment analysis that better exploits the time-varying properties of speech signals. Experimental results, that show the good behavior of the classifier in terms of probability of error with respect to signal-to-noise ratio, are reported and discussed
  • Keywords
    digital communication; integrated voice/data communication; method of moments; pattern classification; signal classification; speech processing; telecommunication computing; telephone traffic; communication system maintenance; data traffic measurements; discrimination capability; extracted parameters; noise-insensitive technique; pattern classification; probability of error; signal-to-noise ratio; speech/voice-band data classification; statistical moments; telephone-type systems; time-varying properties; Communication system traffic; Data communication; Data mining; Probability; Signal analysis; Signal processing; Signal to noise ratio; Speech analysis; Telecommunication traffic; Telephony;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.843088
  • Filename
    843088