Document Type

Conference Proceeding

Publisher

IEEE Thailand Section

Faculty

Computing, Health and Science

School

Computer and Information Science

RAS ID

3196

Comments

This article was originally published as: 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. Original article available here

© 2004 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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

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Link to publisher version (DOI)

10.1109/TENCON.2004.1414551