Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: A Preliminary Development Study (Preprint)-Reference-Cited by-同舟云学术

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Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: A Preliminary Development Study (Preprint)

Published:2020-10-25 Issue: Volume: Page:
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:

Author:

Hu Hao-Chun^ORCID,Chang Shyue-Yih,Wang Chuen-Heng,Li Kai-Jun,Cho Hsiao-Yun,Chen Yi-Ting,Lu Chang-Jung,Tsai Tzu-Pei,Lee Oscar Kuang-Sheng^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference34 articles.

1. Quality-of-Life Impact of Non-Neoplastic Voice Disorders: A Meta-Analysis

2. Prevalence and causes of dysphonia in a large treatment-seeking population

3. Current dysphonia trends in patients over the age of 65: Is vocal atrophy becoming more prevalent?

4. Clinical Practice Guideline: Hoarseness (Dysphonia) (Update)

5. Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach

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4. A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method;Scientific Reports;2024-06-23

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