Speech recognition using the modulation model

K. T. Assaleh, R. J. Mammone, M. G. Rahim, J. L. Flanagan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

A set of features and classification metric based on the modulation model for speech recognition are presented. The modulation model (MM) decomposes speech into amplitude and frequency modulated components. Computer simulations are presented that demonstrate the robustness to aging of the MM based features when these features are employed for speech recognition.

Original languageEnglish (US)
Title of host publicationSpeech Processing
PublisherPubl by IEEE
PagesII-664-II-667
ISBN (Print)0780309464
StatePublished - 1993
Event1993 IEEE International Conference on Acoustics, Speech and Signal Processing - Minneapolis, MN, USA
Duration: Apr 27 1993Apr 30 1993

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume2
ISSN (Print)0736-7791

Other

Other1993 IEEE International Conference on Acoustics, Speech and Signal Processing
CityMinneapolis, MN, USA
Period4/27/934/30/93

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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