- Parkinson's Disease Detection from Audio Recordings.
- Preprocessing -> Windowing - Short-Time Fourier Transform - Mel-scale Spectrograms
- Model -> ViT + MobileNetV2 + ResNet50 -> Decison-level Late-fusion Ensemble -> Soft / Hard Voting
- Results -> 99.05% Accuracy, 99.01% F1-Score, 0.99 AUC-ROC
- Author(s): Satrajit Kar, Puneet Pradhan, Soham Bakshi, Brotin Halder, Pawan Kumar Singh.
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Parkinson's disease detection from audio signals using mel spectrograms & a decision-level late fusion ensemble of ViT, MobileNetV2, and ResNet-50.
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ksatrajit0/Parkinsons-Disease-Detection-Using-Deep-Learning-from-Audio-Signals
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Parkinson's disease detection from audio signals using mel spectrograms & a decision-level late fusion ensemble of ViT, MobileNetV2, and ResNet-50.
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