Speech processing

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 …

Multimodal I-vectors to Detect and Evaluate Parkinson's Disease

Parkinson's Disease (PD) is a neurodegenerative disorder characterized by a variety of motor symptoms. PD patients show several motor deficits, including speech deficits, impaired handwriting and gait disturbances. In this work we propose a …

NeuroSpeech: An open-source software for Parkinson's speech analysis

A new software for modeling pathological speech signals is presented in this paper. The software is called NeuroSpeech. This software enables the analysis of pathological speech signals considering different speech dimensions: phonation, …

Phonological i-Vectors to Detect Parkinson's Disease

Speech disorders are common symptoms among Parkinson’s disease patients and affect the speech of patients in different aspects. Currently, there are few studies that consider the phonological dimension of Parkinson’s speech. In this work, we use a …

Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions

Symptoms of Parkinson’s disease vary from patient to patient. Additionally, the progression of those symptoms also differs among patients. Most of the studies on the analysis of speech of people with Parkinson’s disease do not consider such an …

Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease

Background: Parkinson's disease (PD) is a neurological disorder that produces motor and non-motor impairments. The evaluation of motor symptoms is currently performed following the third section of the Movement Disorder Society – Unified Parkinson's …

Unobtrusive Monitoring of Speech Impairments of Parkinson's Disease Patients Through Mobile Devices

Parkinson's disease (PD) produces several speech impairments in the patients. Automatic classification of PD patients is performed considering speech recordings collected in noncontrolled acoustic conditions during normal phone calls in a unobtrusive …

Apkinson-A Mobile Monitoring Solution for Parkinson's Disease.

In this paper we want to present our work on a smartphone application which aims to provide a mobile monitoring solution for patients suffering from Parkinson’s disease. By unobtrusively analyzing the speech signal during phone calls and with a …

Characterisation of voice quality of Parkinson’s disease using differential phonological posterior features

Change in voice quality (VQ) is one of the first precursors of Parkinson’s disease (PD). Specifically, impacted phonation and articulation causes the patient to have a breathy, husky-semiwhisper and hoarse voice. A goal of this paper is to …