Author:
Benba Achraf,Jilbab Abdelilah,Hammouch Ahmed
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Reference24 articles.
1. Benba, A., Jilbab, A., & Hammouch, A. (2014a). Voice analysis for detecting persons with Parkinson’s disease using MFCC and VQ. In The 2014 international conference on circuits, systems and signal processing, 23–25 September 2014. Saint Petersburg: Saint Petersburg State Polytechnic University.
2. Benba, A., Jilbab, A., & Hammouch, A. (2014b). Hybridization of best acoustic cues for detecting persons with Parkinson’s disease. In 2nd World conference on complex system (WCCS’14), 10–12 November 2014. Agadir: IEEE.
3. Benba, A., Jilbab, A., & Hammouch, A. (2014c). Voiceprint analysis using perceptual linear prediction and support vector machines for detecting persons with Parkinson’s disease. In The 3rd International conference on health science and biomedical systems (HSBS’14), Florence, Italy, 22–24 November 2014.
4. Benba, A., Jilbab, A., & Hammouch, A. (2014d). Voice analysis for detecting persons with Parkinson’s disease using PLP and VQ. Journal of Theoretical and Applied Information Technology, 70(3), 443–450.
5. Benba, A., et al. (2015a). Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson’s disease. In 2015 International conference on electrical and information technologies (ICEIT). IEEE, Marrakech, Morocco.
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