An efficient approach using HOS-based parameters in the LPC residual domain to classify breathy and rough voices-Reference-Cited by-同舟云学术

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An efficient approach using HOS-based parameters in the LPC residual domain to classify breathy and rough voices

Published:2011-04 Issue:2 Volume:6 Page:186-196
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Lee JiYeoun,Jeong Sangbae,Hahn Minsoo,Sprecher Alicia J.,Jiang Jack J.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference31 articles.

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2. Workshop on acoustic voice analysis: summary statement;Titze;National Center for Voice and Speech,1981

3. Perceptual and acoustic correlates of abnormal voice qualities;Hammarberg;Acta Otolaryngology,1980

4. Perceptual evaluation of voice quality: review, tutorial, and a framework for future research;Kreiman;Journal of Speech and Hearing Research,1993

5. The multidimensional nature of pathologic vocal quality;Kreiman;Journal of the Acoustical Society of America,1994

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2. A Survey on Machine Learning Approaches for Automatic Detection of Voice Disorders;Journal of Voice;2019-11

3. Automated Diagnosis of Depression Electroencephalograph Signals Using Linear Prediction Coding and Higher Order Spectra Features;Journal of Medical Imaging and Health Informatics;2017-12-01

4. Modal and Nonmodal Voice Quality Classification Using Acoustic and Electroglottographic Features;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2017-12

5. Corrigendum to “An efficient approach using HOS-based parameters in the LPC residual domain to classify breathy and rough voices” [Biomed. Signal Process. Control 6(2) (2011) 186–196];Biomedical Signal Processing and Control;2012-07

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