UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 3 Issue 1
January-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1601010


Registration ID:
160018

Page Number

47-49

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Title

VOICE ANALYSIS BASED DISEASES IDENTIFICATION USING SPEECH PROCESSING

Abstract

The proper analysis of the human voice has created a vital field of research for its various applications in medical as well as engineering sectors. The analysis of a voice signal basically deals with the extraction of some parameters from voice signal for processing of voice in desirable application by using suitable and various types of algorithms. Out of the many algorithms MFCC is a type of algorithm that gives the best and accurate results. This paper is used to identify one or more diseases in human beings like Parkinson’s, asthma, etc. By comparing the voice signals of an infected person and a normal person at a lower bit rate.

Key Words

Parkinson’s diseases , MFCC , spectral characteristics .

Cite This Article

"VOICE ANALYSIS BASED DISEASES IDENTIFICATION USING SPEECH PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 1, page no.47-49, January-2016, Available :http://www.jetir.org/papers/JETIR1601010.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"VOICE ANALYSIS BASED DISEASES IDENTIFICATION USING SPEECH PROCESSING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 1, page no. pp47-49, January-2016, Available at : http://www.jetir.org/papers/JETIR1601010.pdf

Publication Details

Published Paper ID: JETIR1601010
Registration ID: 160018
Published In: Volume 3 | Issue 1 | Year January-2016
DOI (Digital Object Identifier):
Page No: 47-49
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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