Recognition of monosyllabic words in continuous sentences using composite word templates.

Number 239
Year 1978
Drawer 4
Entry Date 06/03/1999
Authors Mermelstein, P.
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Publication IEEE Transactions on Acoustics, Speech and Signal Processing, 708-711.
url http://www.haskins.yale.edu/Reprints/HL0239.pdf
Abstract As a preliminary step in syllable recognition in continuous speech, differences in acoustic forms were studied when these are induced by variation in the syntactive role of the word in the sentences. A modified dynamics programming algorithm is presented that allows building up of reference information from a speaker’s productions in the face of such variations. The limited data base studied included 169 productions occurring in 57 sentences and composed of 52 different monosyllabic CVC words spoken by two male speakers. When each speaker’s productions were tested against reference data built up from different tokens of his productions, correct first choice recognition was attained for 83% and 90% of the words, respectively. A similarity metric that takes into account the detailed acoustic variation that each speech sound may undergo without loss of indentifiability can be expected to improve on these results.
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