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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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Language identification, a tool for Corsican and for the evaluation of linguistic resources ; L'identification de langue, un outil au service du corse et de l'évaluation des ressources linguistiques
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In: Traitement Automatique des Langues ; https://hal.archives-ouvertes.fr/hal-03633290 ; Traitement Automatique des Langues, 2022, Diversité Linguistique, 62 (3), pp.13-37 ; https://www.atala.org/content/diversité-linguistique-linguistic-diversity-natural-language-processing (2022)
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The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0
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The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0
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Об истории речевых исследований в России ... : About the history of speech research in Russia ...
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INTEGRATION OF PHONOTACTIC FEATURES FOR LANGUAGE IDENTIFICATION ON CODE-SWITCHED SPEECH ...
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INTEGRATION OF PHONOTACTIC FEATURES FOR LANGUAGE IDENTIFICATION ON CODE-SWITCHED SPEECH ...
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Leveraging lyrics from audio for MIR ; Exploiter les paroles de chansons à partir de l'audio pour le MIR
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In: https://tel.archives-ouvertes.fr/tel-03558515 ; Signal and Image processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT027⟩ (2021)
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Privacy and utility of x-vector based speaker anonymization
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In: https://hal.inria.fr/hal-03197376 ; 2021 (2021)
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Privacy and utility of x-vector based speaker anonymization
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In: https://hal.inria.fr/hal-03197376 ; 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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Anonymous speaker clusters: Making distinctions between anonymised speech recordings with clustering interface
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In: INTERSPEECH 2021 ; https://hal.archives-ouvertes.fr/hal-03267084 ; INTERSPEECH 2021, Aug 2021, Brno, Czech Republic (2021)
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Presentation matters: Evaluating speaker identification tasks
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In: INTERSPEECH 2021 ; https://hal.archives-ouvertes.fr/hal-03267089 ; INTERSPEECH 2021, Aug 2021, Brno, Czech Republic (2021)
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Anonymous speaker clusters: Making distinctions between anonymised speech recordings with clustering interface
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In: INTERSPEECH 2021 ; https://hal.archives-ouvertes.fr/hal-03267084 ; INTERSPEECH 2021, Aug 2021, Brno, Czech Republic (2021)
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From the Stage to the Audience: Propaganda on Reddit
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In: EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03351621 ; EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Online, France ; https://2021.eacl.org/ (2021)
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ДИСКУРС ЯЗЫКОВОЙ ДИФФЕРЕНЦИАЦИИ КАК ФАКТОР ЭТНИЧЕСКОЙ ИДЕНТИФИКАЦИИ ... : DISCOURSE OF LANGUAGE DIFFERENTIATION AS A FACTOR OF ETHNIC IDENTIFICATION ...
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Automatic Loanword Identification Using Tree Reconciliation ...
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Automatic Language Identification in Code-Switched Hindi-English Social Media Text
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In: Journal of Open Humanities Data; Vol 7 (2021); 7 ; 2059-481X (2021)
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The Unsolved Problem of Language Identification: A GMM-based Approach ...
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The Unsolved Problem of Language Identification: A GMM-based Approach ...
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