Machine Learning Approach to Dysphonia Detection

Machine Learning Approach to Dysphonia Detection

This paper addresses the processing of speech data and their utilization in a decision support system. The main aim of this work is to utilize machine learning methods to recognize pathological speech, particularly dysphonia. We extracted 1560 speech features and used these to train the classificati...

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Bibliographic Details
Main Authors: Zuzana Dankovičová, Dávid Sovák, Peter Drotár, Liberios Vokorokos
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Applied Sciences
Subjects:
decision support systems
biomedical signal processing
speech analysis
supervised learning
support vector machines
Online Access:http://www.mdpi.com/2076-3417/8/10/1927

Internet

http://www.mdpi.com/2076-3417/8/10/1927

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