UGC Approved Journal no 63975(19)

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

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFX06040


Registration ID:
516987

Page Number

233-236

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Title

Machine Learning based Voice Disease Detection System

Abstract

The use of mobile devices in the healthcare sector is rapidly rising. Mobile technologies provide not only forms of communication for multimedia content (e.g., clinical audio-visual notes and medical records), but also potential solutions for people who want to detect, monitor, and treat their health concerns at any time and from any location. Mobile health systems can help to improve, speed up, and lower the cost of patient treatment. The usage of mobile technologies can benefit a variety of pathological disorders. This paper focuses on dysphonia, a change in voice quality that affects one out of every three people at some point in their lives. Voice disorders are quickly spreading, despite the fact that they are frequently overlooked. Mobile health systems can provide simple and quick support for vocal pathology detection. To realise a legitimate and precise mobile health system, an algorithm that discriminates between sick and healthy voices with greater precision must be identified. This paper's main contribution is to explore and compare the performance of several machine learning approaches beneficial for speech pathology identification. All studies are carried out on a set of voices drawn from the voice database. The collected results are graded based on their accuracy, sensitivity, specificity, and receiver operating characteristic region. They demonstrate that the machine learning method achieves the highest accuracy in detecting voice illnesses.

Key Words

Machine Learning, voice disease, classification

Cite This Article

"Machine Learning based Voice Disease Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.233-236, May-2023, Available :http://www.jetir.org/papers/JETIRFX06040.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

"Machine Learning based Voice Disease Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp233-236, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06040.pdf

Publication Details

Published Paper ID: JETIRFX06040
Registration ID: 516987
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: 233-236
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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