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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Details
Paper Title
Determination Of Disfluencies Associated In Stuttered Speech Using MFCC Feature Extraction
Authors
  Raghavendra M,  P Rajeswari

Abstract
Stuttering also known as stammering is fluency disorder in which it affects the flow of speech, an involuntary repetitions, prolongation of sounds, syllables, phrase or words, and involuntary silent pause or blocks in communication. This involuntary speech disorder involves frequent and significant problems with the normal fluency and flow of speech. The number of disfluencies present in a speech is an important factor in determining in stuttering. The objective of this paper is to determine the disfluencies in speech which helps speech language pathologist to monitor the stuttering condition and its event. The existing methods uses Artificial neural network, Hidden Markov Model etc. In this method it involves novel approach to detect the disfluencies. The proposed method comprises of segmentation, feature extraction, SVM classifier. Feature extraction is implemented using well known Mel frequency Cepstrum coefficient.

Keywords- Stutter, Disfluency, Syllable, SVM, MFCC.
Publication Details
Unique Identification Number - IJEDR1602364
Page Number(s) - 2074-2079
Pubished in - Volume 4 | Issue 2 | July 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Raghavendra M,  P Rajeswari,   "Determination Of Disfluencies Associated In Stuttered Speech Using MFCC Feature Extraction", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.2074-2079, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1602364.pdf
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