Title :
Speech recognition using the modulation model
Author :
Assaleh, K.T. ; Mammone, R.J. ; Rahim, M.G. ; Flanagan, J.L.
Author_Institution :
Center for Comput. Aids for Ind. Productivity, Rutgers Univ., Piscataway, NJ, USA
Abstract :
A set of features and classification metric based on the modulation model (MM) for speech recognition are presented. The 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.<>
Keywords :
amplitude modulation; frequency modulation; speech recognition; amplitude modulated components; classification metric; frequency modulated components; modulation model; robustness; set of features; simulations; speech recognition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319398
