Evaluating the Diagnostic Potential of Connected Speech for Benign Laryngeal Disease Using Deep Learning Analysis-Reference-Cited by-同舟云学术

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Evaluating the Diagnostic Potential of Connected Speech for Benign Laryngeal Disease Using Deep Learning Analysis

Published:2024-02 Issue: Volume: Page:
ISSN:0892-1997
Container-title:Journal of Voice
language:en
Short-container-title:Journal of Voice

Author:

Lee Jeong Hoon,Seok Jungirl^ORCID,Kim Jae Yeong^ORCID,Kim Hee Chan^ORCID,Kwon Tack-Kyun

Funder

National Research Foundation of Korea

National Cancer Center

Publisher

Elsevier BV

Reference37 articles.

1. Clinical practice guideline: hoarseness (dysphonia);Schwartz;Otolaryngol Head Neck Surg,2009

2. Laryngoscopy, stroboscopy and other tools for the evaluation of voice disorders;Sulica;Otolaryngol Clin North Am,2013

3. Perceptual and laboratory assessment of dysphonia;Dejonckere;Otolaryngol Clin North Am,2000

4. Acoustic analysis of vocal dysphonia;Teixeira;Procedia Comput Sci,2015

5. Usefulness of acoustic studies on the differential diagnostics of organic and functional dysphonia;Pruszewicz;Acta Otolaryngol,1991

Cited by 1 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. Enhancing Health Literacy: Evaluating the Readability of Patient Handouts Revised by ChatGPT's Large Language Model;Otolaryngology–Head and Neck Surgery;2024-08-06

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