DocumentCode :
3157547
Title :
Incorporation of time varying AR modeling in speech recognition system based on dynamic programming
Author :
Babin, Zafrir ; Flomen, Felix A. ; Shallom, Ilan D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ., Beer-Sheva, Israel
fYear :
1991
fDate :
5-7 Mar 1991
Firstpage :
289
Lastpage :
292
Abstract :
Two isolated-word speaker-independent recognition systems are based on non-stationary representations of the speech signal. The first system is based on a time-varying linear prediction model. This recognition system is distinguishable by incorporation of the model and appropriate extension of the log likelihood ratio (LLR) distortion measure. The second system is based on the lattice model represented by time-varying reflection coefficients In this System, the distortion measure used is the Euclidean distance. In order to support this system properly, the extension of the LLR was modified
Keywords :
dynamic programming; filtering and prediction theory; speech recognition; time-varying systems; Euclidean distance; dynamic programming; isolated word recognition; lattice model; log likelihood ratio; speaker-independent recognition systems; speech recognition; time-varying autoregressive modelling; time-varying linear prediction model; time-varying reflection coefficients; Distortion measurement; Dynamic programming; Equations; Filters; Lattices; Linear predictive coding; Reflection; Speech recognition; Testing; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1991. Proceedings., 17th Convention of
Conference_Location :
Tel Aviv
Print_ISBN :
0-87942-678-0
Type :
conf
DOI :
10.1109/EEIS.1991.217640
Filename :
217640
Link To Document :
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