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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

Unique Identifier

JETIR2005068

Page Number

452-456

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Title

Detection of Glottal Pathologic Voice from Speech Signal

ISSN

2349-5162

Cite This Article

"Detection of Glottal Pathologic Voice from Speech Signal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.452-456, May-2020, Available :http://www.jetir.org/papers/JETIR2005068.pdf

Abstract

The aim of this paper is to build a better classification models for detection of voice pathologies. Such detection of voice pathology enables objective assessment and earlier intervention for the diagnosis. Here we analyse and differentiate the pathological voice from normal voice using data mining technique like Support Vector Machine (SVM). We conducted cross-validation experiments on The Saarbruecken Voice Database using support vector machines (SVM) for classification of normal and pathological voices. The speech signal is analysed to extract the acoustic parameters such as 12 Mel-Frequency Filter Bank Cepstral Coefficients (MFCC) and zero-crossing rate (ZCR). The system gives promising accuracy in the detection of Glottal Pathology.

Key Words

Glottal Pathology Detection, Support Vector Machine (SVM), Pathological Voice, 12 Mel-Frequency Filter Bank Cepstral Coefficients (MFCC) and zero-crossing rate (ZCR), Saarbruecken Voice Database

Cite This Article

"Detection of Glottal Pathologic Voice from Speech Signal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp452-456, May-2020, Available at : http://www.jetir.org/papers/JETIR2005068.pdf

Publication Details

Published Paper ID: JETIR2005068
Registration ID: 231533
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 452-456
ISSN Number: 2349-5162

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Cite This Article

"Detection of Glottal Pathologic Voice from Speech Signal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp452-456, May-2020, Available at : http://www.jetir.org/papers/JETIR2005068.pdf




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