Objective Pathological Voice Quality Assessment Based on HOS Features-Reference-Cited by-同舟云学术

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Objective Pathological Voice Quality Assessment Based on HOS Features

Published:2008-12-01 Issue:12 Volume:E91-D Page:2888-2891
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Transactions on Information and Systems

Author:

LEE J.-Y.,JEONG S.,CHOI H.-S.,HAHN M.

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Cited by 6 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. Neurogenerative Disease Diagnosis in Cepstral Domain Using MFCC with Deep Learning;Computational and Mathematical Methods in Medicine;2022-04-04

2. VoiceLens: A multi-view multi-class disease classification model through daily-life speech data;Smart Health;2022-03

3. Experimental Evaluation of Deep Learning Methods for an Intelligent Pathological Voice Detection System Using the Saarbruecken Voice Database;Applied Sciences;2021-08-02

4. Comparative Study between Healthy Young and Elderly Subjects: Higher-Order Statistical Parameters as Indices of Vocal Aging and Sex;Applied Sciences;2021-07-28

5. Deep Learning Approaches for Pathological Voice Detection Using Heterogeneous Parameters;IEICE Transactions on Information and Systems;2020-08-01

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