Title :
The use of context-free grammars in isolated word recognition
Author :
Chirathamjaree, Chaiyaporn
Author_Institution :
Edith Cowan Univ., Churchlands, WA, Australia
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;
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
DOI :
10.1109/TENCON.2004.1414551
