Low Cost Journal,International Peer Reviewed and Refereed Journals,Fast Paper Publication approved journal IJEDR(ISSN 2321-9939) apply for ugc care approved journal, UGC Approved Journal, ugc approved journal, ugc approved list of journal, ugc care journal, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, Low cost research journal, Online international research journal, Peer-reviewed, and Refereed Journals, scholarly journals, impact factor 7.37 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool)
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

Current Issue

Call For Papers
April 2023

Volume 11 | Issue 2
Last Date : 29 April 2023
Review Results: Within 12-20 Days

For Authors


Indexing Partner

Research Area


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

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
Share This Article

Article Preview

ISSN Details

DOI Details

Providing A digital object identifier by DOI
How to get DOI?

For Reviewer /Referral (RMS)

Important Links

NEWS & Conference

Digital Library

Our Social Link

© Copyright 2023 IJEDR.ORG All rights reserved