By Topic

Recognition of monosyllabic words in continuous sentences using composite word templates

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
P. Mermelstein ; Bell-Northern Research and INRS-Telecommunications, Montreal, Quebec, Canada

As a preliminary step in syllable recognition in continuous speech, differences in acoustic forms were studied when these are induced by variation in the syntactic role of the word in the sentences. A modified dynamic 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 identifiability can be expected to improve on these results.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.  (Volume:3 )

Date of Conference:

Apr 1978