Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Reference26 articles.
1. Benba, A., Jilbab, A., & Hammouch, A. (2016). Discriminating between patients with Parkinson’s and neurological diseases using cepstral analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering,24(10), 1100–1108.
2. Benba, A., Jilbab, A., Hammouch, A., & Sandabad, S. (2015). Voiceprints analysis using MFCC and SVM for detecting patients with Parkinson’s disease. In IEEE 1st international conference on electrical and information technologies ICEIT’2015 (pp. 300–304).
3. Braga, D., Madureira, A. M., Coelho, L., & Ajith, R. (2019). Automatic detection of Parkinson’s disease based on acoustic analysis of speech. Engineering Applications of Artificial Intelligence,77, 148–158.
4. Do, M. N. (2016) An automatic speaker recognition system, Audio Visual Communications Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland. Retrieved May, 2016, from
http://lcavwww.epfl.ch/~minhdo/asr_project/
.
5. Godino-Llorente, J. I., Gomez-Vilda, P., & Blanco-Velasco, M. (2006). Dimensionality reduction of a pathological voice quality assessment system based on gaussian mixture models and short-term cepstral parameters. IEEE Transactions on Biomedical Engineering,53(10), 1943–1953.
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