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“You don't sound well, you should take the day off”: Automatic detection of upper respiratory tract infections from speech using time-frequency domain deep …
The acoustic-prosodic qualities of a speech signal are influenced by various health-related
factors, owing to their complex and intricate nature. In the speech and health domain …
factors, owing to their complex and intricate nature. In the speech and health domain …
[HTML][HTML] In Silico Decoding of Parkinson's: Speech & Writing Analysis
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 …
fastest-growing neurological disorder globally. The significant increase in cases from 2.5 …
Time-frequency analysis of speech signals using the Stockwell transform for the detection of upper respiratory tract infection
The acoustic properties of speech demonstrate modifications in the presence of different
health states. Biomedical engineering has great promise for creating non-invasive …
health states. Biomedical engineering has great promise for creating non-invasive …
BEiT Transformer Models to Aid in the Early Detection of Parkinson Illness
N Rajesh, AB Yalavarthy, VK Vamsi… - … on Advances in …, 2024 - ieeexplore.ieee.org
The paper presents an idea that combines machine learning and signal processing
approaches to tackle the difficulties associated with detecting Parkinson illness. Early …
approaches to tackle the difficulties associated with detecting Parkinson illness. Early …