L
Laurence Devillers
Researcher at Centre national de la recherche scientifique
Publications - 119
Citations - 5852
Laurence Devillers is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Emotion classification & Context (language use). The author has an hindex of 32, co-authored 111 publications receiving 4997 citations. Previous affiliations of Laurence Devillers include Université Paris-Saclay & University of Paris-Sud.
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Journal ArticleDOI
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing
Florian Eyben,Klaus R. Scherer,Björn Schuller,Johan Sundberg,Elisabeth André,Carlos Busso,Laurence Devillers,Julien Epps,Petri Laukka,Shrikanth S. Narayanan,Khiet P. Truong +10 more
TL;DR: A basic standard acoustic parameter set for various areas of automatic voice analysis, such as paralinguistic or clinical speech analysis, is proposed and intended to provide a common baseline for evaluation of future research and eliminate differences caused by varying parameter sets or even different implementations of the same parameters.
Proceedings ArticleDOI
The INTERSPEECH 2010 Paralinguistic Challenge
Björn Schuller,Stefan Steidl,Anton Batliner,Felix Burkhardt,Laurence Devillers,Christian Müller,Shrikanth S. Narayanan +6 more
TL;DR: The INTERSPEECH 2010 Paralinguistic Challenge shall help overcome the usually low compatibility of results, by addressing three selected sub-challenges, by address-ing three selected tasks.
Book ChapterDOI
The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data
Ellen Douglas-Cowie,Roddy Cowie,Ian Sneddon,Cate Cox,Orla Lowry,Margaret McRorie,Jean-Claude Martin,Laurence Devillers,Sarkis Abrilian,Anton Batliner,Noam Amir,Kostas Karpouzis +11 more
TL;DR: The HUMAINE Database provides naturalistic clips which record that kind of material, in multiple modalities, and labelling techniques that are suited to describing it.
Journal ArticleDOI
2005 Special Issue: Challenges in real-life emotion annotation and machine learning based detection
TL;DR: A new annotation scheme allowing the annotation of emotion mixtures is presented, and several classification methods are compared to identify relevant emotional states from prosodic, disfluency and lexical cues extracted from the real-life spoken human-human interactions.
Journal ArticleDOI
Paralinguistics in speech and language-State-of-the-art and the challenge
Björn Schuller,Stefan Steidl,Anton Batliner,Felix Burkhardt,Laurence Devillers,Christian Müller,Shrikanth S. Narayanan +6 more
TL;DR: A broad overview of the constantly growing field of paralinguistic analysis is provided by defining the field, introducing typical applications, presenting exemplary resources, and sharing a unified view of the chain of processing.