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Does infant-directed speech help phonetic learning? A machine learning investigation
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In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03080098 ; Cognitive Science, Wiley, 2021, 45 (5), ⟨10.1111/cogs.12946⟩ (2021)
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The Impact of Alcohol on L1 versus L2
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In: ISSN: 0023-8309 ; Language and Speech ; https://hal.archives-ouvertes.fr/hal-03476236 ; Language and Speech, SAGE Publications (UK and US), 2021, 64 (3), pp.681-692. ⟨10.1177/0023830920953169⟩ (2021)
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| 63 |
Management support system and group planning in continuing education ; Système d’aide à la gestion et planification de groupe en formation continue
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In: https://hal.archives-ouvertes.fr/tel-03557025 ; Environnements Informatiques pour l'Apprentissage Humain. Université de Lille, CRIStAL UMR 9189, 2021. Français (2021)
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Extraction of Narrative Structure from TV Series ; Extraction de la structure narrative de séries TV
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In: https://halshs.archives-ouvertes.fr/tel-03474054 ; Linguistics. Université Paris-Saclay/Université Paris-Sud; LISN; CNRS, 2021. English (2021)
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| 65 |
Evolution and differentiation of the cybersecurity communities in three social question and answer sites: A mixed-methods analysis.
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In: PloS one, vol 16, iss 12 (2021)
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| 66 |
A Hierarchical Computational Framework for Social Interaction Understanding: Interactiveness, Shared Attention, Gaze Communication and Triadic Belief Dynamics
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Fan, Lifeng. - : eScholarship, University of California, 2021
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| 67 |
Mapping International Geopolitical Agenda. Continuing National Conceptions of the Emerging European Crisis
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In: ISSN: 2624-909X ; EISSN: 2624-909X ; Frontiers in Big Data ; https://halshs.archives-ouvertes.fr/halshs-03506950 ; Frontiers in Big Data, Frontiers, 2021, 4, ⟨10.3389/fdata.2021.718809⟩ (2021)
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D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
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In: https://hal.inria.fr/hal-03498160 ; 2021 (2021)
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Machine Learning of Motion Statistics Reveals the Kinematic Signature of the Identity of a Person in Sign Language
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In: ISSN: 2296-4185 ; Frontiers in Bioengineering and Biotechnology ; https://hal.archives-ouvertes.fr/hal-03298752 ; Frontiers in Bioengineering and Biotechnology, Frontiers, 2021, 9, ⟨10.3389/fbioe.2021.710132⟩ (2021)
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Abstract:
International audience ; Sign language (SL) motion contains information about the identity of a signer, as does voice for a speaker or gait for a walker. However, how such information is encoded in the movements of a person remains unclear. In the present study, a machine learning model was trained to extract the motion features allowing for the automatic identification of signers. A motion capture (mocap) system recorded six signers during the spontaneous production of French Sign Language (LSF) discourses. A principal component analysis (PCA) was applied to time-averaged statistics of the mocap data. A linear classifier then managed to identify the signers from a reduced set of principal components (PCs). The performance of the model was not affected when information about the size and shape of the signers were normalized. Posture normalization decreased the performance of the model, which nevertheless remained over five times superior to chance level. These findings demonstrate that the identity of a signer can be characterized by specific statistics of kinematic features, beyond information related to size, shape, and posture. This is a first step toward determining the motion descriptors necessary to account for the human ability to identify signers.
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Keyword:
[INFO]Computer Science [cs]; [SCCO]Cognitive science; feature extraction; human movements; machine learning; motion capture; person identification; sign language; statistics
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URL: https://doi.org/10.3389/fbioe.2021.710132
https://hal.archives-ouvertes.fr/hal-03298752
https://hal.archives-ouvertes.fr/hal-03298752/file/fbioe-09-710132.pdf
https://hal.archives-ouvertes.fr/hal-03298752/document
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| 70 |
Some contributions to computational Bayesian methods with application to phylolinguistics ; Quelques contributions aux méthodes computationnelles bayesiennes, avec applications à la phylolinguistique
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In: https://tel.archives-ouvertes.fr/tel-03546821 ; Statistics [math.ST]. Université Paris sciences et lettres, 2021. English. ⟨NNT : 2021UPSLD008⟩ (2021)
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| 71 |
A review of data collection practices using electromagnetic articulography
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In: ISSN: 1868-6354 ; Laboratory Phonology : Journal of the Association for Laboratory Phonology ; https://hal.archives-ouvertes.fr/hal-03476230 ; Laboratory Phonology : Journal of the Association for Laboratory Phonology, De Gruyter, 2021, 12 (1), pp.6. ⟨10.5334/labphon.237⟩ (2021)
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| 72 |
Deux méthodes d’extraction automatique des connaissances pour essayer de comprendre la structuration de la conscience phonologique chez l’enfant
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In: 18e Rencontres du Réseau Français de Phonologie ; https://hal.archives-ouvertes.fr/hal-03162037 ; 18e Rencontres du Réseau Français de Phonologie, Jul 2021, Clermont-Ferrand, France (2021)
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Multimodal Coarticulation Modeling : Towards the animation of an intelligible talking head ; Modélisation de la coarticulation multimodale : vers l'animation d'une tête parlante intelligible
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In: https://hal.univ-lorraine.fr/tel-03203815 ; Intelligence artificielle [cs.AI]. Université de Lorraine, 2021. Français. ⟨NNT : 2021LORR0019⟩ (2021)
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Modelling repeated paired phonetic measures using linear mixed models with correlated errors
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In: ISSN: 2152-372X ; Case Studies in Business, Industry and Government Statistics ; https://hal.archives-ouvertes.fr/hal-03235741 ; Case Studies in Business, Industry and Government Statistics, Société Française de Statistique, 2021, 8, pp.28-46 ; http://csbigs.fr/article/view/811 (2021)
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A logistic regression model for predicting child language performance ; Un modèle de régression logistique pour la prédiction du développement langagier chez l'enfant
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In: SIS 2021, 50th Annuale Conference of the Italian Statistical Society" ; https://hal.archives-ouvertes.fr/hal-03318721 ; SIS 2021, 50th Annuale Conference of the Italian Statistical Society", Jun 2021, Pise, Italy (2021)
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L'art des controverses ; L'art des controverses: La création pour apprendre
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In: Controverses mode d'emploi ; https://hal.telecom-paris.fr/hal-03140312 ; Presses de la fondation nationale des sciences politiques. Controverses mode d'emploi, pp.307-309, 2021 (2021)
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| 77 |
The Machine in the Garden of Meter and Rythm
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In: Plotting Poetry. On Mechanically-Enhanced Reading ; https://hal.telecom-paris.fr/hal-03255491 ; Bories, Anne-Sophie ; Purnelle, Gérald ; Marchal, Hugues. Plotting Poetry. On Mechanically-Enhanced Reading, Presses universitaires de Liège, 2021, 978-2-87562-280-8 (2021)
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Presence, flow, and narrative absorption questionnaires: a scoping review
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In: Open Research Europe ; https://hal.archives-ouvertes.fr/hal-03228676 ; Open Research Europe, 2021, 1, pp.11. ⟨10.12688/openreseurope.13277.1⟩ (2021)
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| 79 |
Learning a weather dictionary of atmospheric patterns using Latent Dirichlet Allocation
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In: https://hal.archives-ouvertes.fr/hal-03258523 ; 2021 (2021)
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Learning emotions latent representation with CVAE for Text-Driven Expressive AudioVisual Speech Synthesis
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In: ISSN: 0893-6080 ; Neural Networks ; https://hal.inria.fr/hal-03204193 ; Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩ (2021)
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