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Grounding an Ecological Theory of Artificial Intelligence in Human Evolution
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In: NeurIPS 2021 - Conference on Neural Information Processing Systems / Workshop: Ecological Theory of Reinforcement Learning ; https://hal.archives-ouvertes.fr/hal-03446961 ; NeurIPS 2021 - Conference on Neural Information Processing Systems / Workshop: Ecological Theory of Reinforcement Learning, Dec 2021, virtual event, France (2021)
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The manuscript Harley 3376. Comment to the letter B ; Il manoscritto Harley 3376. Commento alla lettera B
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In: https://hal.archives-ouvertes.fr/hal-03473693 ; 2021 (2021)
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Critical information thresholds underlying generic and familiar face categorisation at the same face encounter
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In: ISSN: 1053-8119 ; EISSN: 1095-9572 ; NeuroImage ; https://hal.archives-ouvertes.fr/hal-03437754 ; NeuroImage, Elsevier, 2021, 243, pp.118481. ⟨10.1016/j.neuroimage.2021.118481⟩ (2021)
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Genome-wide analysis of gene dosage in 24,092 individuals estimates that 10,000 genes modulate cognitive ability
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In: ISSN: 1359-4184 ; EISSN: 1476-5578 ; Molecular Psychiatry ; https://hal-pasteur.archives-ouvertes.fr/pasteur-03325369 ; Molecular Psychiatry, Nature Publishing Group, 2021, ⟨10.1038/s41380-020-00985-z⟩ (2021)
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Influence of Psychological Vulnerability Factors for Bipolar Disorders on a Semantic Mediated Priming Task
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal-pasteur.archives-ouvertes.fr/pasteur-03361416 ; Frontiers in Psychology, Frontiers, 2021, 12, pp.598114. ⟨10.3389/fpsyg.2021.598114⟩ (2021)
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MOR Digital: The Advent of a New Lexicographical Portuguese Project
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In: eLex 2021 - Seventh biennial conference on electronic lexicography ; https://hal.inria.fr/hal-03195362 ; eLex 2021 - Seventh biennial conference on electronic lexicography, Jul 2021, Brno, Czech Republic ; https://elex.link/elex2021/ (2021)
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MORDigital: The Advent of a New Lexicographical Portuguese Project
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In: eLex 2021 - Seventh biennial conference on electronic lexicography ; https://hal.inria.fr/hal-03195362 ; eLex 2021 - Seventh biennial conference on electronic lexicography, Jul 2021, Brno, Czech Republic ; https://elex.link/elex2021/ (2021)
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Influence of Psychological Vulnerability Factors for Bipolar Disorders on a Semantic Mediated Priming Task
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In: EISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.archives-ouvertes.fr/hal-03361416 ; Frontiers in Psychology, Frontiers, 2021, 12, pp.598114. ⟨10.3389/fpsyg.2021.598114⟩ (2021)
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SCALa: A blueprint for computational models of language acquisition in social context
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
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The SPECTRANS System Description for the WMT21 Terminology Task
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In: Proceedings of the Sixth Conference on Machine Translation ; EMNLP 2021 SIXTH CONFERENCE ON MACHINE TRANSLATION (WMT21) ; https://hal.archives-ouvertes.fr/hal-03574680 ; EMNLP 2021 SIXTH CONFERENCE ON MACHINE TRANSLATION (WMT21), ACL, Nov 2021, Punta Cana, Dominican Republic. pp.815-820 ; https://aclanthology.org/events/wmt-2021/ (2021)
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Avalokiteśvara of the “Three and a Half Syllables”: A Note on the Heart-Mantra Ārolik in India
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In: ISSN: 0004-3958 ; EISSN: 2111-4552 ; Arts Asiatiques ; https://halshs.archives-ouvertes.fr/halshs-03503681 ; Arts Asiatiques, École française d'Extrême-Orient, In press, Arts Asiatiques, pp.5-30 (2021)
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What does the Canary Say? Low-Dimensional GAN Applied to Birdsong
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In: https://hal.inria.fr/hal-03244723 ; 2021 (2021)
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Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis
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In: ISSN: 1663-4365 ; Frontiers in Aging Neuroscience ; https://hal.archives-ouvertes.fr/hal-03154679 ; Frontiers in Aging Neuroscience, Frontiers, 2021, 13, pp.640522. ⟨10.3389/fnagi.2021.640522⟩ ; https://www.frontiersin.org/articles/10.3389/fnagi.2021.640522/full (2021)
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What does the Canary Say? Low-Dimensional GAN Applied to Birdsong
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In: https://hal.inria.fr/hal-03244723 ; 2021 (2021)
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Abstract:
The generation of speech, and more generally complex animal vocalizations, by artificial systems is a difficult problem which has recently been addressed using various techniques in artificial intelligence. Generative Adversarial Networks (GANs) have shown very good abilities for generating images, and more recently sounds. The usability of a GAN generating a vocal repertoire relies in part on our understanding of the representations of the various sounds in the GAN latent space. Here, we aim to test the ability of WaveGAN to produce a set of canary syllables and constrain the latent space to a small dimension. We trained WaveGANs with varying latent space dimensions (from 1 to 6) on a large dataset of canary syllables (16000 renditions of 16 different syllable types). The sounds produced by the generators are identified and evaluated by a RNN-based classifier trained on the same dataset. This quantitative evaluation is paired with a qualitative evaluation of the GAN output spectrograms across GAN training epochs and latent dimensions, comparing multiple instances of the training for each condition. Altogether, our results show that a latent space of dimension 3 is enough to produce a varied repertoire of sounds of quality often indistinguishable from real canary ones, spanning all the types of syllables of the dataset. Importantly, we show that the 3-dimensional GAN generalizes by interpolating between the various syllable types. We rely on UMAP representations to qualitatively show the similarities between the training data and the generated data, and between the generated syllables and the interpolations produced. Exploring the latent representations of syllable types, we show that they form well identifiable subspaces of the latent space. This study provides tools to train simple sensorimotor models, as inverse models, from perceived sounds to motor representations of the same sounds. Both the RNN-based classifier and the small dimensional GAN provide a way to learn the mappings of perceived and produced sounds.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]; Birdsong; Generative adversarial network; Latent space; Sound generation
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URL: https://hal.inria.fr/hal-03244723/file/Pagliarini2021_canary_GAN__HAL-v1.pdf https://hal.inria.fr/hal-03244723/document https://hal.inria.fr/hal-03244723
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Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis
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In: ISSN: 1663-4365 ; Frontiers in Aging Neuroscience ; https://hal-pasteur.archives-ouvertes.fr/pasteur-03219614 ; Frontiers in Aging Neuroscience, Frontiers, 2021, 13, pp.640522. ⟨10.3389/fnagi.2021.640522⟩ (2021)
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Testosterone Increases the Emission of Ultrasonic Vocalizations With Different Acoustic Characteristics in Mice
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal-pasteur.archives-ouvertes.fr/pasteur-03325352 ; Frontiers in Psychology, Frontiers, 2021, 12, pp.680176. ⟨10.3389/fpsyg.2021.680176⟩ (2021)
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The Romance Inter-Views: Syntax
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In: ISSN: 2385-4138 ; Isogloss. Open Journal of Romance Linguistics ; https://hal.archives-ouvertes.fr/hal-03437125 ; Isogloss. Open Journal of Romance Linguistics, 2021, 7, ⟨10.5565/rev/isogloss.112⟩ (2021)
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Zvěstovite-(Zn), Ag 6 (Ag 4 Zn 2 )As 4 S 13 , a new tetrahedrite-group mineral from Zvěstov, Czech Republic
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In: ISSN: 0026-461X ; EISSN: 1471-8022 ; Mineralogical Magazine ; https://hal.archives-ouvertes.fr/hal-03475309 ; Mineralogical Magazine, Mineralogical Society, 2021, 85 (5), pp.716-724. ⟨10.1180/mgm.2021.57⟩ (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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