Speech recognition using the modulation model

Authors:
K. T. Assaleh;R. J. Mammone;M. G. Rahim;J. L. Flanagan
Affiliations:
Center for Computer Aids for Industrial Productivity, Rutgers University, Piscataway, New Jersey;Center for Computer Aids for Industrial Productivity, Rutgers University, Piscataway, New Jersey;Center for Computer Aids for Industrial Productivity, Rutgers University, Piscataway, New Jersey;Center for Computer Aids for Industrial Productivity, Rutgers University, Piscataway, New Jersey
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Year:
1993

Citing 3
Cited 0

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Application of the modulation model to speech recognition

ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1

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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.