• DocumentCode
    180612
  • Title

    A comparison of spectro-temporal representations of audio signals

  • Author

    Krijnders, J.D. ; van Hengel, P.W.J.

  • Author_Institution
    Cognitive Syst. Group, INCAS, Assen, Netherlands
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    8212
  • Lastpage
    8216
  • Abstract
    This article compares methods for the conversion of time-series into a spectro-temporal representation. These methods are designed based on a resemblance with the auditory processing of sound in the inner ear, or on mathematical principles related to, for example, Fourier analysis. This study provides a comparison between several of these methods. Two tests were devised for this comparison: one based on susceptibility to noise and one on the expression of spectro-temporal detail. While some methods produced good results on one of the two tests, others produced good results on both. Overall the transmission line model using an impedance function suggested by Zweig [1] provided the best results, though not significantly. Also a larger computational load may hinder application in some domains. The gammatone filterbank and straightforward spectrogram provide good alternatives with less computational load.
  • Keywords
    audio signal processing; channel bank filters; mathematical analysis; time series; transmission lines; audio signals; auditory processing; fourier analysis; gammatone filterbank; impedance function; mathematical principles; spectro-temporal representations; spectrogram; time series; transmission line model; Impedance; Signal to noise ratio; Spectrogram; Speech; Speech recognition; Time-frequency analysis; Acoustic signal detection; Acoustic signal processing; Signal mapping; Spectral analysis; Spectrogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6855202
  • Filename
    6855202