Laetitia JeancolasConcordia University Montreal · Department of Electrical and Computer Engineering
Laetitia Jeancolas
PhD
About
12
Publications
6,001
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117
Citations
Introduction
Additional affiliations
March 2020 - October 2021
Position
- PostDoc Position
Description
- Automatic analysis of speech impairments in early Parkinson's disease and neural correlates
October 2015 - November 2019
January 2014 - August 2014
Education
October 2015 - November 2019
Field of study
- Parkinson's disease detection through voice analysis and correlations with neuroimaging
September 2013 - August 2014
September 2009 - June 2012
Publications
Publications (12)
Les modifications de la voix, connues sous le terme de dysarthrie hypokinétique, sont un des premiers symptômes à apparaître dans la maladie de Parkinson. Les corrélations entre des paramètres vocaux et les atteintes du système dopaminergique mises en évidence par la 123-I Ioflupane tomoscintigraphie d'émission monophotonique (DAT) ou l'IRM sensibl...
Vocal impairments are among the earliest symptoms in Parkinson’s Disease (PD). We adapted a method classically used in speech and speaker recognition, based on Mel-Frequency Cepstral Coefficients (MFCC) extraction and Gaussian Mixture Model (GMM) to detect recently diagnosed and pharmacologically treated PD patients. We classified early PD subjects...
Les modifications de la voix, prenant la forme de dysarthrie hypokinétique, sont un des premiers symptômes à apparaître dans la maladie de Parkinson (MP). Un grand nombre de publications existent sur la détection de MP par l'analyse de la voix, mais peu se sont intéressées spécifiquement au stade débutant. D'autre part, à notre connaissance, aucune...
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect. In this article, we have adapted the latest speaker recognition system, called x-vectors, in order to detect PD at an early stage using voice analysis. X-vectors are embeddings extracted from Deep...
Background
Speech disorders are amongst the first symptoms to appear in Parkinson's disease (PD).
Objectives
We aimed to characterize PD voice signature from the prodromal stage (isolated rapid eye movement sleep behavior disorder, iRBD) to early PD using an automated acoustic analysis and compare male and female patients. We carried out supervise...
Background: Hypomimia is a symptom of Parkinson's disease (PD), characterized by a decrease in facial movements and loss of face emotional expressions. This study aims to detect hypomimia in participants with early-stage PD based on facial action units (AUs). Methods: A total of 299 video recordings were included, consisting of 208 PD subjects and...
Infants start to use a spoon for self-feeding at the end of the first year of life, but usually do not use unfamiliar tools to solve problems before the age of 2 years. We investigated to what extent 18-month-old infants who are familiar with using a spoon for self-feeding are able to generalize this tool-use ability to retrieve a distant object. W...
Vocal impairments are one of the earliest disrupted modalities in Parkinson's disease (PD). Most of the studies whose aim was to detect Parkinson's disease through acoustic analysis use global parameters. In the meantime, in speaker and speech recognition, analyses are carried out by short-term parameters, and more precisely by Mel-Frequency Cepstr...
Parmi les manifestations cliniques de la maladie de Par-kinson, les troubles de la voix surviennent particulièrement tôt dans la maladie. Ils prennent principalement la forme d'une insuffisance prosodique, articulatoire et phonatoire. La voix des patients devient monotone, à débit variable, éraillée ou soufflée, et les articulations deviennent impr...
