DocumentCode
430988
Title
The use of context-free grammars in isolated word recognition
Author
Chirathamjaree, Chaiyaporn
Author_Institution
Edith Cowan Univ., Churchlands, WA, Australia
Volume
B
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
140
Abstract
A method using nonrecursive context-free grammars is presented for the recognition of isolated words. Some form of ´training´ is required to combat problems of variations in speech. In the training mode, one grammar for each word in the vocabulary is constructed directly from a set of sample strings of ´features´ represented by symbols. In the recognition mode, an incoming string is analyzed to determine which grammar, if any, could have generated it. The word corresponding to such grammar is then said to have been recognized.
Keywords
context-free grammars; feature extraction; speech recognition; training; feature sample string; isolated word recognition; nonrecursive context-free grammar; speech variation; symbol representation; training mode; vocabulary; Computer science; Decoding; Feature extraction; Formal languages; Humans; Iron; Pattern recognition; Speech processing; Speech recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN
0-7803-8560-8
Type
conf
DOI
10.1109/TENCON.2004.1414551
Filename
1414551
Link To Document