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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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Is Old French tougher to parse?
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In: 20th International Workshop on Treebanks and Linguistic Theories ; https://hal.archives-ouvertes.fr/hal-03506500 ; 20th International Workshop on Treebanks and Linguistic Theories, Mar 2022, Sofia, Bulgaria (2022)
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A Novel Multimodal Approach for Studying the Dynamics of Curiosity in Small Group Learning
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In: https://hal.inria.fr/hal-03536340 ; 2022 (2022)
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A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds
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In: ISSN: 1746-8094 ; Biomedical Signal Processing and Control ; https://hal-upec-upem.archives-ouvertes.fr/hal-03193501 ; Biomedical Signal Processing and Control, Elsevier, 2021, 68, pp.102623 (2021)
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Population modeling with machine learning can enhance measures of mental health
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In: ISSN: 2047-217X ; GigaScience ; https://hal.inria.fr/hal-03470466 ; GigaScience, BioMed Central, 2021, ⟨10.1101/2020.08.25.266536⟩ (2021)
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Navigation In Urban Environments Amongst Pedestrians Using Multi-Objective Deep Reinforcement Learning
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In: ITSC 2021 - 24th IEEE International Conference on Intelligent Transportation Systems ; https://hal.inria.fr/hal-03372856 ; ITSC 2021 - 24th IEEE International Conference on Intelligent Transportation Systems, Sep 2021, Indianapolis, United States. pp.1-7 (2021)
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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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Abstract:
International audience ; A prominent hypothesis holds that by speaking to infants in infant-directed speech (IDS) as opposed to adult-directed speech (ADS), parents help them learn phonetic categories. Specifically, two characteristics of IDS have been claimed to facilitate learning: hyperarticulation, which makes the categories more separable and variability, which makes the generalization more robust. Here, we test the separability and robustness of vowel category learning on acoustic representations of speech uttered by Japanese adults in either ADS, IDS (addressed to 18-24 month olds) or read speech (RS). Separability is determined by means of a distance measure computed between the five short vowel categories of Japanese, while robustness is assessed by testing the ability of six different machine learning algorithms trained to classify vowels to generalize on stimuli spoken by a novel speaker in ADS. Using two different speech representations, we find that hyperarticulated speech, in the case of RS, can yield better separability, and that increased between-speaker variability in ADS, can yield, for some algorithms, more robust categories. However, these conclusions do not apply to IDS, which turned out to yield neither more separable nor more robust categories compared to ADS inputs. We discuss the usefulness of machine learning algorithms run on real data to test hypotheses about the functional role of IDS.
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Keyword:
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; Adult-directed speech; Hyperarticulation; Infant-directed speech; Phonetic learning; Read speech; Speech variability
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URL: https://doi.org/10.1111/cogs.12946
https://hal.archives-ouvertes.fr/hal-03080098/document
https://hal.archives-ouvertes.fr/hal-03080098/file/CognitiveScience.pdf
https://hal.archives-ouvertes.fr/hal-03080098
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| 8 |
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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| 9 |
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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| 10 |
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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| 11 |
TREMoLo-Tweets: a Multi-Label Corpus of French Tweets for Language Register Characterization
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In: RANLP 2021 - Recent Advances in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03331738 ; RANLP 2021 - Recent Advances in Natural Language Processing, Sep 2021, Varna, Bulgaria (2021)
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| 12 |
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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| 13 |
Comparison of Deep Learning Approaches for Protective Behaviour Detection Under Class Imbalance from MoCap and EMG data
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In: ACIIW 2021 - 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos ; https://hal.archives-ouvertes.fr/hal-03523502 ; ACIIW 2021 - 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, Sep 2021, Nara, Japan. pp.01-08, ⟨10.1109/ACIIW52867.2021.9666417⟩ ; http://www.casapaganini.it/entimement/workshops/2021/Workshop2021_Home.php (2021)
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| 14 |
Audio-driven speech animation using recurrent neutral network
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In: https://hal.inria.fr/hal-03167213 ; United States, Patent n° : WO2021023861. 2021 (2021)
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| 15 |
Building An Automated Gesture Imitation Game For Teenagers with ASD
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In: ISSN: 0973-7006 ; Far East Journal of Electronics and Communications ; https://hal-imt-atlantique.archives-ouvertes.fr/hal-02894314 ; Far East Journal of Electronics and Communications, 2020, 23 (1), pp.1 - 10. ⟨10.17654/EC023010001⟩ (2020)
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| 16 |
Att-HACK: An Expressive Speech Database with Social Attitudes
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In: Speech Prosody ; https://hal.archives-ouvertes.fr/hal-02508362 ; Speech Prosody, May 2020, Tokyo, Japan (2020)
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| 17 |
On the evaluation of retrofitting for supervised short-text classification
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In: Proceedings of the Joint Ontology Workshops, CEUR-WS Vol 2708 : http://ceur-ws.org/Vol-2708/donlp2.pdf ; 1st International Workshop DeepOntoNLP: Deep Learning meets Ontologies and Natural Language Processing ; https://hal.mines-ales.fr/hal-02986853 ; 1st International Workshop DeepOntoNLP: Deep Learning meets Ontologies and Natural Language Processing, Sep 2020, Virtual & Bozen-Bolzano, Italy ; https://www.dl-onto-nlp-fois2020.ml/ (2020)
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| 18 |
Décrire les textes politiques par le deep learning : à la recherche de nouveaux observables
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In: JADT 2020 : 15es Journées internationales d’Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-03167188 ; JADT 2020 : 15es Journées internationales d’Analyse statistique des Données Textuelles, Jun 2020, Toulouse, France ; http://lexicometrica.univ-paris3.fr/jadt/JADT2020/jadt2020_pdf/GUARESI_JADT2020.pdf (2020)
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| 19 |
Building Collaboration-based Resources In Endowed African Languages: Case Of NTeALan Dictionaries Platform
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In: Proceedings of the First workshop on Resources for African Indigenous Languages (RAIL) ; https://hal.archives-ouvertes.fr/hal-02701162 ; Proceedings of the First workshop on Resources for African Indigenous Languages (RAIL), 2020 (2020)
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| 20 |
NTeALan Dictionaries Platforms: An Example Of Collaboration-Based Model
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In: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020) ; https://hal.archives-ouvertes.fr/hal-02701912 ; Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020), 2020, pp.11 - 16 (2020)
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