Title
Time-varying feature selection and classification of unvoiced stop consonants
Abstract
A feature set that captures the dynamics of formant transitions prior to closure in a VCV environment is used to characterize and classify the unvoiced stop consonants. The feature set is derived from a time-varying, data-selective model for the speech signal. Its performance is compared with that of comparable formant data from a standard delta-LPC-based model. The different feature sets are evaluated on a database composed of eight talkers. A 40% reduction in classification error rate is obtained by means of the time-varying model. The performance of three different classifiers is discussed. A novel adaptive algorithm, termed learning vector classifier (LVC) is compared with standard K-means and LVQ2 classifiers. LVC is a supervised learning classifier that improves performance by increasing the resolution of the decision boundaries. Error rates obtained for the three-way (p, t, and k) classification task using LVC and the time-varying analysis are comparable to that of techniques that make use of additional discriminating information contained in the burst. Further improvements are expected when an expanded time-varying feature set is utilized, coupled with information from the burst
Year
DOI
Venue
1994
10.1109/89.294353
Speech and Audio Processing, IEEE Transactions  
Keywords
Field
DocType
learning (artificial intelligence),speech analysis and processing,speech recognition,time-varying systems,LVC,VCV environment,adaptive algorithm,classification,closure,database,decision boundaries,error rate,feature set,formant transitions,learning vector classifier,performance,speech signal,supervised learning classifier,time-varying feature selection,unvoiced stop consonants
Feature selection,Pattern recognition,Computer science,Word error rate,Speech recognition,Supervised learning,Feature set,Artificial intelligence,Adaptive algorithm,Classifier (linguistics),Linear classifier,Formant
Journal
Volume
Issue
ISSN
2
3
1063-6676
Citations 
PageRank 
References 
14
2.21
7
Authors
2
Name
Order
Citations
PageRank
Nathan, K.S.1142.21
Silverman, H.F.2142.21