DocumentCode :
2635746
Title :
Cross-words reference template for DTW-based speech recognition systems
Author :
Abdulla, Waleed H. ; Chow, David ; Sin, Gary
Author_Institution :
Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
Volume :
4
fYear :
2003
fDate :
15-17 Oct. 2003
Firstpage :
1576
Abstract :
One of the main problems in dynamic time-warping (DTW) based speech recognition systems are the preparation of reliable reference templates for the set of words to be recognised. This paper presents a simple novel technique for preparing reliable reference templates to improve the recognition rate score. The developed technique produces templates called crosswords reference templates (CWRTs). It extracts the reference template from a set of examples rather than one example. This technique can be adapted to any DTW-based speech recognition systems to improve its performance. The speaker-dependent recognition rate, as tested on the English digits, is improved from 85.3%, using the traditional technique to 99%, using the developed technique.
Keywords :
feature extraction; speech recognition; called crosswords reference templates; cross-word reference template; dynamic time-warping; feature extraction; reference templates; speech recognition systems; time-series signals; Artificial neural networks; Cellular phones; Cepstral analysis; Costs; Engines; Hidden Markov models; Silicon compounds; Speech recognition; Testing; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
Type :
conf
DOI :
10.1109/TENCON.2003.1273186
Filename :
1273186
Link To Document :
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