VADDOT: Vocal Analysis to Detect Diseases of Throat-Reference-Cited by-同舟云学术

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VADDOT: Vocal Analysis to Detect Diseases of Throat

Published:2023-11-17 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC)
language:
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Author:

Senapati Ipsita¹,Pradhan Animesh¹,Senapati Lipsita²,Prasath Rajendra³,Swarnkar Tripti¹

Affiliation:

1. Siksha ‘0’ Anusandhan University,ITER,Department of Computer Science and Engineering,Bhubaneswar,Odisha

2. Mercedes Benz Research and Development India,Bengaluru,Karnataka

3. Indian Institute of Information Technology,Faculty of Computer Science and Engineering,Sri City,Andhra Pradesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430417/10430480/10431445.pdf?arnumber=10431445

Reference12 articles.

1. Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods

2. Voice Based Disease Identification System

3. Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results

4. Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

5. Voice Features of Sustained Phoneme as COVID-19 Biomarker

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