Cascade Convolutional Neural Network - Autoencoder Method for Parkinson’s Disease Detection Using Multilingual Voice Signal

Parkinson’s disease (PD) is a neurodegenerative disorder that hampers both motor and non-motor activities in human body. Speech signal has been used as a viable biomarker for early identification of PD. Voice changes in the temporal and spectral domains have been used to identify the condition effec...

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Bibliographic Details
Published in:	SN computer science Vol. 6; no. 7; p. 802
Main Authors:	Pandey, Pandit Vivek Kumar, Sahu, Sitanshu Sekhar
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.10.2025 Springer Nature B.V
Subjects:	Accuracy Artificial neural networks Biomarkers Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Datasets Deep learning Dopamine English language Feature extraction Females Fourier transforms Human motion Information Systems and Communication Service Machine learning Males Multilingualism Neural networks Original Research Parkinson's disease Pattern Recognition and Graphics Software Engineering/Programming and Operating Systems Spanish language Speech Support vector machines Vision Voice Vowels Wavelet transforms United States > US CNN Bottleneck autoencoder SVM XGBoost Parkinson’s disease Spectrogram
ISSN:	2661-8907, 2662-995X, 2661-8907
Online Access:	Get full text
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