A. Dumka

VoiceFusionNet: A Hybrid CNN--Transformer Framework for Speech-Based Parkinson’s Disease Screening Using Speech Signal Analysis

VoiceFusionNet, a hybrid CNN–Transformer framework evaluated on the Spanish PC-GITA Speech Corpus, applies amplitude normalization, short-time Fourier transforms, Mel-scale filtering, and MFCC extraction before learning local acoustic and global contextual representations through convolutional and Transformer modules.