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Reseach Article

Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study

Published on May 2015 by Salma Jabeen, K.m. Ravi Kumar
An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
Foundation of Computer Science USA
ICCTAC2015 - Number 1
May 2015
Authors: Salma Jabeen, K.m. Ravi Kumar
52f2ee5d-75e7-4b05-aee4-ccb03ed8468a

Salma Jabeen, K.m. Ravi Kumar . Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study. An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds. ICCTAC2015, 1 (May 2015), 19-23.

@article{
author = { Salma Jabeen, K.m. Ravi Kumar },
title = { Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study },
journal = { An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds },
issue_date = { May 2015 },
volume = { ICCTAC2015 },
number = { 1 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/icctac2015/number1/20920-2007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
%A Salma Jabeen
%A K.m. Ravi Kumar
%T Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study
%J An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
%@ 0975-8887
%V ICCTAC2015
%N 1
%P 19-23
%D 2015
%I International Journal of Computer Applications
Abstract

This paper describes the effect of 0dB and 20dB vehicle noise on stuttered speech. 100 samples are collected from the subjects (stutterer), among which 80 samples are used for training and 20 samples for testing. The samples are trained using Mel Frequency Cepstral Coefficients (MFCC) feature extraction and statistical parameters such as mean, max, min, standard deviation (SD), power spectrum density (PSD), then the testing samples are analyzed by adding vehicle noise of 0dB and 20dB. Using sparse matrix enhancement technique the vehicle noise is degraded. The results obtained after enhancement are 45-95% depending on the samples used for analysis.

References
  1. Bloodstein,O. (1970). Stuttering and normal disfluency a continuity hypothesis . British Journal of Disorders of communication,5,30-39 W. Johnson et al. , "The onset of stuttering, minneapolies :University of Minnesata press," 1959.
  2. E. Yairi and B. Lewis, "Disfluencies at the onset of stuttering," Journal of speech & Hearing Research, vol. 27, pp. 154-159, 1984.
  3. E. G. Conture, "Stuttering" Englewood cliffs, New Jersey: Prentice-Hall, 2nd edition, 1990.
  4. http://medicine. yale. edu/
  5. K. M. Ravikumar, Balakrishna Reddy, R. Rajagopal and H. C. Nagaraj, "Automatic Detection of Syllable Repetition in Read Speech for Objective Assessment of Stuttered Disfluencies", 2008.
  6. Fuhai, L. , Jinwen, M. , Dezhi, H. , MFCC and SVM Based Recognition of Chinese Vowels. Lecture Notes in Artificial Intelligence, 3802:812–819, 2005.
  7. K. M. Ravikumar, and Dr. R. Rajagopal "Altered Auditory Feedback Systems for Adult Stutter", Proceedings of the Sonata international Conference on Computer Communication and Control, November 2006, pp. 193-196.
  8. K. M. Ravikumar , Sachin Kudva , Dr. R. Rajagopal and Dr. H. C. Nagaraj, "Development of a Procedure for the Automatic Recognition of Disfluencies in the Speech of People who Stutter", International Conference on Advanced Computing Technologies, Hyderabad, India, December 2008, pp. 514-519.
  9. K. M. Ravikumar , S. Mahadev , Dr. R. Rajagopal and Dr. H. C. Nagaraj, "An Algorithm to Compute the number of Repetitions and its Iterations from Stuttered Speech for Objective Assessment of Stuttering, ICOICT, International Conference on Optoelectronics", Information and Communication Technologies, Trivandrum, Kerala, India, February 2009, pp. 147-150.
  10. K. M. Ravikumar , T. Satish , Dr. R. Rajagopal and Dr. H. C. Nagaraj, "Bayseian Classifier for Classification of Normal Nonfluency and Fluent Speech from Stuttered Disfluencies", ICOICT, International Conference on Optoelectronics, Information and Communication Technologies, Trivandrum, Kerala, India, February 2009, pp. 202-205.
  11. K. M. Ravikumar , Dr. R. Rajagopal and Dr. H. C. Nagaraj, "An Approach for Objective Assessment of Stuttered Speech Using MFCC Features", ICGST, International Journal on Digital Signal Processing, Vol. 9, June 2009, Issue. 1, pp. 19-24.
  12. "Advanced Digital Signal Processing and Noise Reduction", Second Edition. Saeed V. Vaseghi Copyright © 2000 John Wiley & Sons Ltd ISBNs: 0-471-62692-9 (Hardback): 0-470-84162-1 (Electronic).
  13. Baneree. S, Beck J. E and Mostow. J ,"Evaluating the effect of predicting oral reading miscues" in proceedings of Eurospeech, Septemer 2003a,Geneva,Switzerland.
  14. G. Riley, "Stuttering severity instrument for children and adults", third. Austin,TX,Pro-Ed,1994.
  15. H. H Gregory, J. H. Campbell, C. Gregory and G. Hill, "Stuttering therapy: Rationale and Procedures", Boston, Pearson Allyn and Bacon, 2003.
  16. Garber, S. , & Martin, R. 1977. Effects of noise and increased vocal intensity on stuttering. J Speech Hear Res. 1977 Jun;20(2):233-40.
  17. Kalinowski, J. , Armson, J. , Stuart, A. , Graco, V. , & Roland-Mieskowski, M. (1993). Effects of alterations in auditory feedback and speech rate on stuttering frequency. Language and Speech, 36, 1-16.
  18. Block, S. , Ingham, R. J. , & Bench, R. J. (1996). The effects of the Edinburgh Masker on stuttering. Australian Journal of Human Communication Disorders, 24, 11-18.
  19. Dewar, A. , Dewar, A. D. , Austin, W. T. S. , Brash, H. M. (1979) The Long Term Use of an Automatically Triggered Auditory Feedback Masking Device in the Treatment of Stammering. British Journal of Disorders of Communication, 14(3), 19-26.
  20. http://spib. rice. edu/spib/data/signals/noise/
Index Terms

Computer Science
Information Sciences

Keywords

Stutter Vehicle Noise Mfcc.