Detecting Parkinson's disease and its cognitive phenotypes via automated semantic analyses of action stories

AM García, D Escobar-Grisales… - npj Parkinson's …, 2022 - nature.com
Action-concept outcomes are useful targets to identify Parkinson's disease (PD) patients and
differentiate between those with and without mild cognitive impairment (PD-MCI, PD-nMCI) …

[HTML][HTML] Semi-supervised cross-lingual speech emotion recognition

M Agarla, S Bianco, L Celona, P Napoletano… - Expert Systems with …, 2024 - Elsevier
Abstract Performance in Speech Emotion Recognition (SER) on a single language has
increased greatly in the last few years thanks to the use of deep learning techniques …

[HTML][HTML] Combining a multi-feature neural network with multi-task learning for emergency calls severity prediction

M Abi Kanaan, JF Couchot, C Guyeux, D Laiymani… - Array, 2024 - Elsevier
In emergency call centers, operators are required to analyze and prioritize emergency
situations prior to any intervention. This allows the team to deploy resources efficiently if …

Hidden bawls, whispers, and yelps: can text convey the sound of speech, beyond words?

C de Lacerda Pataca, PDP Costa - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Whether a word was bawled, whispered, or yelped, captions will typically represent it in the
same way. If they are your only way to access what is being said, subjective nuances …

Image Encoding and Fusion of Multi-modal Data Enhance Depression Diagnosis in Parkinson's Disease Patients

J Li, Y Zhao, H Zhang, WJ LiMember… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The diagnosis of depression in individuals with Parkinson's Disease (PD) through the
utilization of multimodal fusion techniques represents a significant domain. The primary …

One system to rule them all: A universal intent recognition system for customer service chatbots

JC Vasquez-Correa, JC Guerrero-Sierra… - arXiv preprint arXiv …, 2021 - arxiv.org
Customer service chatbots are conversational systems designed to provide information to
customers about products/services offered by different companies. Particularly, intent …

IMNMAGN: Integrative Multimodal Approach for Enhanced Detection of Neurodegenerative Diseases Using fusion of Multidomain Analysis with Graph Networks

RV Anand, TS Priyan, MG Brahmam, B Balusamy… - IEEE …, 2024 - ieeexplore.ieee.org
The burgeoning field of neurodegenerative disease detection and management
necessitates the development of robust and comprehensive diagnostic approaches. Existing …

Joint enhancement and classification constraints for noisy speech emotion recognition

L Sun, Y Lei, S Wang, S Chen, M Zhao, P Li - Digital Signal Processing, 2024 - Elsevier
In the natural environment, the received speech signal is often interfered by noise, which
reduces the performance of speech emotion recognition (SER) system. To this end, a noisy …

Machine Learning Applications in the Study of Parkinson's Disease: A Systematic Review

J Martorell-Marugan, M Chierici… - Current …, 2023 - ingentaconnect.com
Background: Parkinson's disease is a common neurodegenerative disorder that has been
studied from multiple perspectives using several data modalities. Given the size and …

[PDF][PDF] Depression detection using speech audio and text: A comprehensive review focusing on deep learning methods

N Wang, R Chiong, R Kamil, W Zhang, SAR Al-Haddad… - 2024 - authorea.com
Depression is defined as a mood disorder characterised by persistent feelings of sadness
and hopelessness that affects over 3.76% of the global population 1. It has severe negative …