NDLI: Spectral and textural features for automatic classification of fricatives using SVM

Content Provider	IEEE Xplore Digital Library
Author	Frid, A. Lavner, Y.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Tel-Hai Coll., Israel (Frid, A.; Lavner, Y.)
Abstract	We report on an analysis of spectral and textural characteristics of fricatives for their classification. Fricative classification can be useful in applications such as differential manipulation of phonemes for the hearing impaired, where people have difficulties in perception of fricatives. Several acoustic time and frequency domain features were computed and examined for constructing discriminative feature vectors, which enable accurate classification of fricatives for various speakers and dialects, and for varied contexts. The best sets of features for classification were selected using a floating-search procedure. The evaluation included a data set of more than 18,000 fricatives, from more than 100 speakers. The classification stage included training a support vector machine (SVM) on small part of the data, initial classification of each signal frame (8-12 msec), and utilizing a majority vote for the feature vectors of the same phoneme. An overall accuracy of 89% and 80% was obtained for the unvoiced and voiced fricatives, respectively, and 97% for sibilants/non-sibilants discrimination.
Starting Page	99
Ending Page	102
File Size	720251
Page Count	4
File Format	PDF
ISBN	9789531841917
ISSN	21578672
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-12
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	University of Zagreb
Subject Keyword	Support vector machines Support Vector Machine (SVM) Auditory system Fricative classification MATLAB
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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