DocumentCode :
2997468
Title :
Top-down controlled and optimal syllable-template chaining algorithm for large vocabulary speech recognition
Author :
Kabasawa, Satoshi ; Hara, Noriyo ; Hasegawa, Kiichi ; Uekawa, Yutaka ; Tsuboka, Eiichi
Author_Institution :
Central Research Lab., Osaka, Japan
Volume :
11
fYear :
1986
fDate :
31503
Firstpage :
2303
Lastpage :
2306
Abstract :
The vowel-consonant-vowel (VCV) template-matching is useful for large vocabulary speech recognition and continuous speech recognition from the point of view of the allophonic variation in phonemes due to co-articulation, the segmentation ambiguity, and the size of vocabulary. In this paper a new matching algorithm for a large vocabulary speech recognition is proposed, and experimental result and some discussion are given. This algorithm has the advantage of moderating an intensive and time-consuming task for template-training by reducing the number of templates to about 40% of the all VCV combinations. Further, by top-down controlled matching, this algorithm has the advantage of reducing computational requirement, which is required to avoid the effect of co-articulation and the segmentation ambiguity.
Keywords :
Buffer storage; Cepstral analysis; Cepstrum; Computational efficiency; Information analysis; Linear predictive coding; Optimal control; Speech recognition; Testing; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type :
conf
DOI :
10.1109/ICASSP.1986.1168538
Filename :
1168538
Link To Document :
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