UGC Approved Journal no 63975(19)

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

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1806530


Registration ID:
183868

Page Number

199-205

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Title

Voice Signal Parameter Analysis towards Measuring the Severity of Asthma

Abstract

The most characteristic type of correspondence known to human civilization is voice. A human voice is a component of human ailment, feeling and disease, and along these lines, analysis of human voice can help in extracting information about the wellbeing conditions. There exists different voice pathological issues related with neural, larynx, nasal and respiratory diseases, which, when analyzed well in time, using voice analysis, can help in mitigating and/or curing the disease. Voice analysis is, by and by, emerging as one of the potential zones of research in biomedical electronics. The scientific relationship created in this work corresponded human voice parameters with nearness of asthma and its levels, ranging from intermittent to serious.

Key Words

Level of Asthma, Asthma, Acoustic analysis, Multi-Dimensional Voice Program, Regression analysis, Computerized Speech Lab.

Cite This Article

"Voice Signal Parameter Analysis towards Measuring the Severity of Asthma", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.199-205, June-2018, Available :http://www.jetir.org/papers/JETIR1806530.pdf

ISSN


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 Signal Parameter Analysis towards Measuring the Severity of Asthma", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp199-205, June-2018, Available at : http://www.jetir.org/papers/JETIR1806530.pdf

Publication Details

Published Paper ID: JETIR1806530
Registration ID: 183868
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 199-205
Country: warangal, telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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