Improving Parkinson’s disease recognition through voice analysis using deep learning

Author:

Khaskhoussy Rania,Ayed Yassine Ben

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference24 articles.

1. A multi-model framework for evaluating type of speech samples having complementary information about Parkinson’s disease;Ali,2019

2. Automated detection of Parkinson’s disease based on multiple types of sustained phonations using linear discriminant analysis and genetically optimized neural network;Ali;IEEE J. Transl. Eng. Health Med.,2019

3. Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques;Almeida;Pattern Recognit. Lett.,2019

4. An algorithm for Parkinson’s disease speech classification based on isolated words analysis;Amato;Health Inf. Sci. Syst.,2021

5. Source and vocal tract cues for speech-based classification of patients with Parkinson’s disease and healthy subjects;Bhattacharjee,2021

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