health-care

Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users

This paper proposes a methodology for automatic detection of speech disorders in Cochlear Implant users by implementing a multi-channel Convolutional Neural Network. The model is fed with a 2-channel input which consists of two spectrograms computed …

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

This paper focuses on selecting features that can best represent the pathophysiology of Parkinson’s disease (PD) dysarthria. PD dysarthria has often been the subject of feature selection and classification experiments, but rarely have the selected …

Apkinson

a Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease

Aprendizaje por transferencia en redes neuronales convolucionales para el diagnóstico y monitoreo de la enfermedad de Parkinson usando señales de voz en tres idiomas diferentes

Ingeniería electrónica, Universidad de Antioquia, 2019

Conexion Salud

Study to measure the level of Communication and information technologies (TICs) in the public Health Services institutions of Colombia

Modelling of Speech Aspects in Parkinson’s Disease by Multitask Deep Learning

Master in medical engineering, Friedrich Alexander Universität (FAU), 2019.

Neurospeech

Toolkit to asses speech impairments in patients with neurological disorders

VOT

Automatic detection of voiced onset time (VOT) for assessment of pathological speech

2016 Third Frederick Jelinek Memorial Summer Workshop

Remote Monitoring of Neurodegeneration through Speech

Multimodal PD

Asynchronous Non-Intrusive Multi-Modal Analysis of Bio-Signals for the Automatic evaluation of the Neurological State of People With Parkinson's Disease