health-care

TAPAS

Training Network on Automatic Processing of PAthological Speech

Natural Language Analysis to Detect Parkinson's Disease

Parkinson’s disease is a neuro-degenerative disorder characterized by different motor symptoms, including several gait impairParkinson’s disease (PD) is a neuro-degenerative disorder that produces motor and non-motor impairments. Non-motor …

Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features

Background and objectives: Parkinson’s disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting …

Automated Cross-language Intelligibility Analysis of Parkinson’s Disease Patients Using Speech Recognition Technologies

Speech deficits are common symptoms amongParkinson’s Disease (PD) patients. The automatic assessment of speech signals is promising for the evaluation of the neurological state and the speech quality of the patients. Recently, progress has been made …

Speech differences between CI users with pre-and postlingual onset of deafness detected by speech processing methods on voiceless to voice transitions

Introduction: The onset of deafness affects speech in different ways. Speech differences of Cochlear Implant (CI) users with pre- and postlingual deafness are examined using acoustic features extracted automatically from speech. Methods: Utterances …

A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease

Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor and non-motor symptoms. Particularly, several speech impairments appear in the initial stages of the disease, which affect aspects related to respiration and the …

A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson’s Disease

Parkinson’s disease is a neuro-degenerative disorder characterized by different motor symptoms, including several gait impairments. Gait analysis is a suitable tool to support the diagnosis and to monitor the state of the disease. This study proposes …

Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease

Parkinson’s disease is a neurological disorder that produces different motor impairments in the patients. The longitudinal assessment of the neurological state of patients is important to improve their quality of life. We introduced Apkinson, a …

Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises

This paper presents preliminary results for the analysis of intelligibility in the speech of Parkinson's Disease (PD) patients. An automatic speech recognition system is used to compute the word error rate (WER), the Levenshtein distance, and the …

Multimodal assessment of Parkinson's disease: a deep learning approach

Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor symptoms. Particularly, difficulties to start/stop movements have been observed in patients. From a technical/diagnostic point of view, these movement changes can …