NDLI: Recognition of Cantonese finals using heuristic methodology

Content Provider	IEEE Xplore Digital Library
Author	Fu, S.W.K. Lee, C.H. Clubb, O.L.
Copyright Year	1996
Description	Author affiliation: Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong (Fu, S.W.K.)
Abstract	This paper present a heuristic methodology to recognize Cantonese finals. A consonant/vowel recognition is first used to segment the initial and final. After segmentation, the final is recognized by first classifying into an individual final group by a simple distortion measurement and then recognized by dynamic time warping within each final group. The feature extraction for final group classification is done by a presudo-search of the repeating harmony unit in the middle steady part of the final. The tailing consonant is found by a presudo-search of the segmentation point. The presudo-search using both procedures is characterised by pitch determination and harmony unit comparison. Using this methodology, an averaged recognition accuracy of 93.44% is obtained for recognizing finals. Compared with other methodologies using HMM or dynamic time warping, the explicit use of Cantonese speech feature is enhances the results and recognition speed.
Starting Page	761
Ending Page	764
File Size	415046
Page Count	4
File Format	PDF
ISBN	0780329120
DOI	10.1109/ICSIGP.1996.567374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Cepstral analysis Tail Distortion measurement Feature extraction Hidden Markov models Testing Performance evaluation Milling machines
Content Type	Text
Resource Type	Article

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