Voice disorder detection using machine learning algorithms: An application in speech and language pathology-Reference-Cited by-同舟云学术

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Voice disorder detection using machine learning algorithms: An application in speech and language pathology

Published:2024-07 Issue: Volume:133 Page:108047
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ur Rehman Mujeeb,Shafique Arslan,Azhar Qurat-Ul-Ain,Jamal Sajjad Shaukat,Gheraibia Youcef,Usman Aminu Bello

Funder

King Khalid University

Deanship of Scientific Research, King Khalid University

Publisher

Elsevier BV

Reference80 articles.

1. Voice pathology detection and classification by adopting online sequential extreme learning machine;Al-Dhief;IEEE Access,2021

2. Dysphonia detection based on voice signals using naive Bayes classifier;Al-Dhief,2022

3. Voice pathology detection using machine learning technique;AL-Dhief,2020

4. A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms;Al-Dhief;IEEE Access,2020

5. The effectiveness of supervised machine learning in screening and diagnosing voice disorders: Systematic review and meta-analysis;Al-Hussain;J. Med. Internet Res.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence in Otology, Rhinology, and Laryngology: A Narrative Review of Its Current and Evolving Picture;Cureus;2024-08-02

2. AROA based Pre-trained Model of Convolutional Neural Network for Voice Pathology Detection and Classification;Journal of Machine and Computing;2024-04-05

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