Document Type
Conference Proceeding
Publisher
IEEE Thailand Section
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Information Science
RAS ID
3196
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.
DOI
10.1109/TENCON.2004.1414551
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Chirathamjaree, C. (2004). The use of context-free grammars in isolated word recognition. Proceedings of TENCON 2004 . (pp. 140-143). Chiang Mai, Thailand. IEEE Thailand Section. Available here
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