An isolated-word recognizer based on grammar-controlled classification processes

A recognizer of isolated words spoken in the Italian language is presented. Each level of recognition (segmentation, phonemic classification and lexical recognition) is controlled by the rules of appropriate grammars whose symbols are fuzzy linguistic variables. The recognition strategy depends on t...

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Bibliographic Details
Published inPattern recognition Vol. 10; no. 2; pp. 73 - 84
Main Authors Rivoira, S., Torasso, P.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 1978
Subjects
Finite transducers
Fuzzy languages and automata
Fuzzy questionnaires
Speech analysis
Speech recognition
Syntactic pattern recognition
Syntactic pattern recognition
Fuzzy languages and automata
Speech analysis
Finite transducers
Fuzzy questionnaires
Speech recognition
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Summary:A recognizer of isolated words spoken in the Italian language is presented. Each level of recognition (segmentation, phonemic classification and lexical recognition) is controlled by the rules of appropriate grammars whose symbols are fuzzy linguistic variables. The recognition strategy depends on the lexical redundancy of the protocol and is based on a classification of speech units into broad phonetic classes, eventually followed by a classification into more detailed classes if some ambiguities still remain.
ISSN:0031-3203
1873-5142
DOI:10.1016/0031-3203(78)90015-8