Laetitia Jeancolas

Laetitia Jeancolas
  • PhD
  • PostDoc Position at Concordia University

About

18
Publications
7,969
Reads
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175
Citations
Current institution
Concordia University
Current position
  • PostDoc Position
Additional affiliations
March 2020 - October 2021
Paris Brain Institute, French National Centre for Scientific Research
Position
  • PostDoc Position
Description
  • Automatic analysis of speech impairments in early Parkinson's disease and neural correlates
April 2012 - August 2012
University of Arizona
Position
  • Master's Student
October 2015 - November 2019
Institut Mines-Télécom
Position
  • PhD Student
Education
October 2015 - November 2019
Institut Mines-Télécom
Field of study
  • Parkinson's disease detection through voice analysis and correlations with neuroimaging
September 2013 - August 2014
Ecole Normale Supérieure de Paris
Field of study
  • Cognitive Sciences and Neurosciences
September 2009 - June 2012

Publications

Publications (18)
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
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...
Thesis
Full-text available
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...
Article
Full-text available
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...
Article
Full-text available
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...
Article
Parkinson's disease (PD) is a progressive neurodegenerative disorder affecting millions worldwide, characterized by a wide range of motor and non-motor symptoms. Among these symptoms, alterations in speech and voice quality stand out as early and prominent indicators of the disease. Recently, the emergence of speech foundation models has revolution...
Preprint
Full-text available
Hypomimia, a symptom of Parkinson's disease (PD), is marked by reduced facial movements and loss of face emotional expressions. This study focuses on identifying hypomimia in individuals with early-stage PD using optical-flow-based video vision transformer. Our study included video recordings from 109 PD and 45 healthy control (HC) subjects with an...
Article
Full-text available
Digital device technologies, such as wearable gait sensors, voice and video recordings, bear potential for monitoring symptoms of chronic and increasingly prevalent diseases, such as Parkinson's Disease. This could facilitate a more personalised and higher quality treatment in the future. As part of the EU-wide project DIGIPD, we confirmed this pot...
Preprint
Full-text available
Digital device technologies, such as wearable gait sensors, voice and video recordings, bear potential for monitoring symptoms of chronic and increasingly prevalent diseases, such as Parkinson's Disease. This could facilitate a more personalized and higher quality treatment in the future. As part of the EU-wide project DIGIPD, we confirmed this pot...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Conference Paper
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...
Conference Paper
Full-text available
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...

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