RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model-Reference-Cited by-同舟云学术

RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model

Published:2022 Issue: Volume:10 Page:120450-120461
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Pathonsuwan Wongsathon¹,Phapatanaburi Khomdet²^ORCID,Buayai Prawit³,Jumphoo Talit¹,Anchuen Patikorn⁴,Uthansakul Monthippa¹^ORCID,Uthansakul Peerapong¹^ORCID

Affiliation:

1. School of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

2. Department of Telecommunication Engineering, Faculty of Engineering and Technology, Rajamangala University of Technology Isan (RMUTI), Nakhon Ratchasima, Thailand

3. Graduate Faculty of Interdisciplinary Research, University of Yamanashi, Kofu, Japan

4. Navaminda Kasatriyadhiraj Royal Air Force Academy, Bangkok, Thailand

Funder

Suranaree University of Technology

Thailand Science Research and Innovation

National Science Research and Innovation Fund (NSRF) through NRIIS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09938443.pdf?arnumber=9938443

Reference48 articles.

1. Towards a comparative database of dysarthric articulation;rudzicz;Proc ISSPIT,2008

2. A hybrid CNN-SVM threshold segmentation approach for tumor detection and classification of MBI brain images;khairandish;Intermediate-Range Ballistic Missile,2021

3. Feature Pyramid Networks for Object Detection

4. Multiscale convolutional neural network for the detection of built-up areas in high-resolution SAR images

5. Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-Based Convolutional Neural Networks

Cited by 3 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. Cucumber Disease Identification Using Multiple Machine Learning Classifiers with a Pre-Trained VGG16 Model;2024 12th International Electrical Engineering Congress (iEECON);2024-03-06

2. Blood Pressure Estimation with Phonocardiogram on CNN-Based Approach;Computers, Materials & Continua;2024

3. Exploiting Data-Efficient Image Transformer-Based Transfer Learning for Valvular Heart Diseases Detection;IEEE Access;2024