Title :
A pattern matching approach to connected-word recognition for Chinese
Author :
Yuan, Bao-sheng ; Yu, Tie-cheng
Author_Institution :
Inst. of Acoust., Acad. Sinica, Beijing, China
Abstract :
A speaker-dependent pattern-matching approach to connected word recognition for Chinese is presented. First, a method of adaptive energy normalization is applied to the speech spectrum, and a sound stimulus parameter is used to compress the normalized spectrum. Then, using a set of isolated word tokens as the reference patterns, a simplified dynamic programming-based matching strategy using a fast dynamic-time-warping alignment procedure is described. Experimental results for the recognition of a Chinese digit string (of unknown variable length from 2 to 5 digits), for two kinds of pronunciation (in standard Chinese and in the way used in telecommunication), are given. The correct string recognition rate is 96.8% and 97.6%, respectively
Keywords :
dynamic programming; spectral analysis; speech recognition; Chinese; adaptive energy normalization; connected-word recognition; dynamic programming; fast dynamic-time-warping alignment; pattern matching approach; pronunciation; speech recognition; speech spectrum; string recognition rate; word tokens; Artificial intelligence; Decision trees; Dynamic programming; Error analysis; Pattern matching; Pattern recognition; Speech recognition; Telecommunication standards; Testing; Vocabulary;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28275
