Continuous Speech for Improved Learning Pathological Voice Disorders
Author:
Affiliation:
1. Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan
2. Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan
Funder
Far Eatsern Memorial Hospital
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/8782705/9698118/09712873.pdf?arnumber=9712873
Reference45 articles.
1. A Mandarin Chinese Reading Passage for Eliciting Significant Vocal Range Variations
2. Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms
3. Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model
4. Continuous Speech Classification Systems for Voice Pathologies Identification
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