Paper Info
Title
A word recognition method from a classified phoneme string in the Lithan speech understanding system
Abstract
In this paper, we describe an optimum matching method between a classified phoneme string and a phoneme string of a lexical entry in a word dictionary. This method is performed by using a phoneme similarity matrix and a dynamic programming technique. A classified segment consists of the first candidate, second candidate, reliability and duration. The effect of coarticulation is normalized in this matching procedure. We also describe a word spotting method in continuous speech by modifying this method.
Year
DOI
Venue
1978
10.1109/ICASSP.1978.1170552
Acoustics, Speech, and Signal Processing, IEEE International Conference ICASSP '78.
Keywords
Field
DocType
covariance matrix,loudspeakers,word recognition,speech processing,pattern recognition,information science,dictionaries,dynamic programming,speech recognition
Speech corpus,Speech processing,Computer science,Coarticulation,Artificial intelligence,Natural language processing,Speech analytics,Pattern recognition,Lexical item,Audio mining,Word error rate,Word recognition,Speech recognition
Conference
Volume
Citations 
PageRank 
3
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Seiichi Nakagawa1598104.03
toshiyuki sakai2132.75