Book Details

STUDY OF CLASSIFICAION METHODS FOR STUTTERING SPEECH SIGNAL ANALYSIS

Sri Vasavi College, Erode Self-Finance Wing, 3rd February 2017. National Conference on Computer and Communication, NCCC’17. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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Abstract

This paper discussed about various classification methods used for stuttering speech signal analysis. Stuttering is nothing but a speech disorder which is one of the difficult communication problem also referred as speech disfluency founded by speech pathology. Another key factor is syllable repetition which occurs when the person is speaking to others. Above 1% of population is affected by speech disorder. These type of Speech signals were used to classified by some classification methods such as SVM, LDA, ANN and HMM.

References

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Keywords

SVM, LDA, PCA, ANN, HMM

Image
  • Format Volume 5, Issue 1, No 6, 2017
  • Copyright All Rights Reserved ©2017
  • Year of Publication 2017
  • Author Ms.S.Poornima, Ms.S.Priyadharshini,
  • Reference IJCS-181
  • Page No 1098-1103

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