A hybrid approach to detecting Parkinson's disease using spectrogram and deep learning CNN-LSTM network

V Shibina, TM Thasleema - International Journal of Speech Technology, 2024 - Springer
Parkinson's disease (PD) is a common illness that affects brain neurons. Medical
practitioners and caregivers face challenges in detecting Parkinson's disease promptly …

Speech emotion recognition using multi resolution Hilbert transform based spectral and entropy features

SP Mishra, P Warule, S Deb - Applied Acoustics, 2025 - Elsevier
Speech emotion recognition (SER) is essential for addressing many personal and
professional challenges in our everyday lives. The application of SER has shown potential …

Speech emotion recognition using a combination of variational mode decomposition and Hilbert transform

SP Mishra, P Warule, S Deb - Applied Acoustics, 2024 - Elsevier
The objective of automated speech emotion recognition (SER) is to recognize each emotion
of the speech signal uniquely and efficiently using machines like computers, mobile devices …

[HTML][HTML] In Silico Decoding of Parkinson's: Speech & Writing Analysis

RR Ileșan, SA Ștefănigă, R Fleșar, M Beyer… - Journal of Clinical …, 2024 - mdpi.com
Background: Parkinson's disease (PD) has transitioned from a rare condition in 1817 to the
fastest-growing neurological disorder globally. The significant increase in cases from 2.5 …

A Mixed audio-video SPD network for online classification of Parkinsonian speech patterns

J Archila, A Manzanera, FM Carrillo - IBERAMIA 2024. 18th Ibero …, 2024 - hal.science
Parkinson's disease (PD) is a neurodegenerative disease that produces progressive motor
impairments. Dysarthria (speech disorders) and hypomimia (face rigidity) are two major …

[PDF][PDF] Advanced Statistical Methods for Parkinson's Disease

K Baker - kclpure.kcl.ac.uk
This thesis explores statistical methodology in the analysis of data from patients with
Parkinson's disease (PD), with research conducted in collaboration with the “Host …