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A noise-robust auditory modelling front end for voiced speech

  • Leslie S. Smith
Part I: Coding and Learning in Biology
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)

Abstract

A method for detecting and displaying voiced elements of speech using amplitude modulated pulses due to unresolved harmonics of the excitation frequency (fundamental) is presented. It uses an auditory model consisting of a gammatone filterbank (modelling the basilar membrane), simple rectification (modelling the organ of Corti inner hair cells), envelope bandpass filters (modelling some spiral ganglion neuron effects) and amplitude modulation detectors (modelling certain cell populations in the cochlear nucleus). We demonstrate that it can display a pattern of activity across the spectrum and across time that describes the energy distribution in voiced speech, and that this pattern degrades slowly in the presence of non-speech noise.

Keywords

Hair Cell Amplitude Modulation Sound Pressure Level Auditory Processing Basilar Membrane 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Leslie S. Smith
    • 1
  1. 1.Department of Computing Science and MathematicsUniversity of StirlingStirlingScotland

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