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The genetic architecture of the human language connectome ; L'architecture génétique du connectome du langage dans le cerveau humain
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In: https://tel.archives-ouvertes.fr/tel-03649334 ; Neuroscience. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPAST019⟩ (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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Examining the Effect of Acculturation and Language Proficiency on the Psychological Assessment of Spanish-English Bilinguals ...
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From Error Annotation to Quantitative Analysis: Patterns in Russian Language Learning
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In: ISSN: 0036-0252 ; Russian language journal ; https://hal.archives-ouvertes.fr/hal-03376956 ; Russian language journal, American Councils for International Education, Michigan State University 2021, 71 (3), pp.39-70 (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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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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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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Chapter 9. Identification of clusters of lexical areas using geographical factors
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In: Language Variation – European Perspectives VIIISelected papers from the Tenth International Conference on Language Variation in Europe (ICLaVE 10), Leeuwarden, June 2019 ; https://halshs.archives-ouvertes.fr/halshs-03272222 ; Hans Van de Velde; Nanna Haug Hilton; Remco Knooihuizen. Language Variation – European Perspectives VIII Selected papers from the Tenth International Conference on Language Variation in Europe (ICLaVE 10), Leeuwarden, June 2019, John Benjamins B.V., pp.210-225, 2021, 978 90 272 5982 0. ⟨10.1075/silv.25.09cha⟩ ; https://www.jbe-platform.com/content/books/9789027259820 (2021)
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End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings
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In: ISBN: 978-1-6654-0019-0 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) ; https://hal.archives-ouvertes.fr/hal-03405970 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), Sep 2021, Nara, Japan ; https://www.acii-conf.net/2021/ (2021)
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Cascading collocations: Collocades as correlates of formulaic language ...
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Cascading collocations: Collocades as correlates of formulaic language ...
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A Codicological and Linguistic Typology of Common Torah Codices from the Cairo Genizah ...
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