Voice Based Disease Identification System
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Published:2021-04-11
Issue:1S
Volume:12
Page:96-105
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ISSN:1309-4653
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Container-title:Turkish Journal of Computer and Mathematics Education (TURCOMAT)
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language:
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Short-container-title:TURCOMAT
Author:
Et. al. Manasi Bendale,
Abstract
Human voice as well as the sound of the body is used as a clinical method to assess the health condition of an individual. The evaluation of the human voice has risen as a critical field of exploration. Speech analysis fundamentally involves the extraction of certain features from voice signals for generation of voice in alluring pertinence by using reasonable techniques. This paper brings up normal ailments that sway understanding voice patterns in proof for driving research that have affirmed voice modifications as demonstrative manifestations in their respective ailments and also the technique by which voice analysis can be done.
Publisher
Auricle Technologies, Pvt., Ltd.
Subject
Computational Theory and Mathematics,Computational Mathematics,General Mathematics,Education
Cited by
2 articles.
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1. Spectro - Temporal Based Feature Extraction for Identification of Pathological Voice Signals from Normal;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14
2. VADDOT: Vocal Analysis to Detect Diseases of Throat;2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC);2023-11-17