Vocal Acoustic Analysis – Classification of Dysphonic Voices with Artificial Neural Networks-Reference-Cited by-同舟云学术

Vocal Acoustic Analysis – Classification of Dysphonic Voices with Artificial Neural Networks

Published:2017 Issue: Volume:121 Page:19-26
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Teixeira João Paulo,Fernandes Paula Odete,Alves Nuno

Publisher

Elsevier BV

Subject

General Engineering

Reference17 articles.

1. Brockmann-Bauser, M. Improving jitter and shimmer measurements in normal voices. Institute of Cellular Medicine, Medical School, Newcastle University, 2011.

2. Comparison of Voice Analysis Systems for Perturbation Measurement;Bielamowicz;Journal of Speech and Hearing Research,1996

3. Voice Disorders Identification Using Multilayer Neural Network;Salhi;The International Arab Journal of Information Technology,2010

4. Acoustic Analysis of Vocal Dysphonia. Procedia Computer Science;Teixeira,2015

5. Differentiating the Symptom of Dysphonia;Pylypowich;The Journal for Nurse Practitioners. Elsevier, Vol. 12, Issue,2016

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