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How much does prosody help word segmentation? A simulation study on infant-directed speech
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03498888 ; Cognition, Elsevier, 2022, 219, pp.104961. ⟨10.1016/j.cognition.2021.104961⟩ (2022)
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2
On the role of population heterogeneity in emergent communication ...
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SCALa: A blueprint for computational models of language acquisition in social context
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 Zero Resource Speech Challenge 2021: Spoken language modelling
In: ISSN: 0162-8828 ; IEEE Transactions on Pattern Analysis and Machine Intelligence ; https://hal.inria.fr/hal-03329301 ; IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2021, pp.1-1. ⟨10.1109/TPAMI.2021.3083839⟩ (2021)
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The Zero Resource Speech Challenge 2021: Spoken language modelling
In: Interspeech 2021 - Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-03329301 ; Interspeech 2021 - Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. ⟨10.1109/TPAMI.2021.3083839⟩ (2021)
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6
Do Infants Really Learn Phonetic Categories?
In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03550830 ; Open Mind, MIT Press, 2021, 5, pp.113-131. ⟨10.1162/opmi_a_00046⟩ (2021)
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7
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
In: INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-03329245 ; INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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8
Communicating artificial neural networks develop efficient color-naming systems
In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.inria.fr/hal-03329084 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (12), ⟨10.1073/pnas.2016569118⟩ (2021)
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9
Early phonetic learning without phonetic categories -- Insights from large-scale simulations on realistic input
In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.archives-ouvertes.fr/hal-03070566 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (7), pp.e2001844118. ⟨10.1073/pnas.2001844118⟩ (2021)
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10
Does infant-directed speech help phonetic learning? A machine learning investigation
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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11
On Generative Spoken Language Modeling from Raw Audio
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03329219 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021 (2021)
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12
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Wang, Changhan; Rivière, Morgane; Lee, Ann. - : HAL CCSD, 2021
In: https://hal.inria.fr/hal-03329290 ; 2021, ⟨10.18653/v1/2021.acl-long.80⟩ (2021)
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13
IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding
In: ISSN: 0162-8828 ; IEEE Transactions on Pattern Analysis and Machine Intelligence ; https://hal.archives-ouvertes.fr/hal-02274273 ; IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2021 (2021)
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14
Occlusion resistant learning of intuitive physics from videos
In: https://hal.archives-ouvertes.fr/hal-03139755 ; 2021 (2021)
Abstract: To reach human performance on complex tasks, akey ability for artificial systems is to understandphysical interactions between objects, and predictfuture outcomes of a situation. This ability, of-ten referred to asintuitive physics, has recentlyreceived attention and several methods were pro-posed to learn these physical rules from video se-quences. Yet, most of these methods are restrictedto the case where no, or only limited, occlusionsoccur. In this work we propose a probabilisticformulation of learning intuitive physics in 3Dscenes with significant inter-object occlusions. Inour formulation, object positions are modelledas latent variables enabling the reconstruction ofthe scene. We then propose a series of approx-imations that make this problem tractable. Ob-ject proposals are linked across frames using acombination of a recurrent interaction network,modeling the physics in object space, and a com-positional renderer, modeling the way in whichobjects project onto pixel space. We demonstratesignificant improvements over state-of-the-art inthe intuitive physics benchmark of Riochet et al.(2018). We apply our method to a second datasetwith increasing levels of occlusions, showing itrealistically predicts segmentation masks up to 30frames in the future. Finally, we also show resultson predicting motion of objects in real videos
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
URL: https://hal.archives-ouvertes.fr/hal-03139755/document
https://hal.archives-ouvertes.fr/hal-03139755
https://hal.archives-ouvertes.fr/hal-03139755/file/2005.00069.pdf
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15
Learning spectro-temporal representations of complex sounds with parameterized neural networks
In: ISSN: 0001-4966 ; EISSN: 1520-8524 ; Journal of the Acoustical Society of America ; https://hal.inria.fr/hal-03329261 ; Journal of the Acoustical Society of America, Acoustical Society of America, 2021, 150 (1), pp.353-366. ⟨10.1121/10.0005482⟩ (2021)
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16
Towards Interactive Language Modeling ...
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Generative Spoken Language Modeling from Raw Audio ...
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VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation ...
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19
Generative Spoken Language Modeling from Raw Audio ...
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20
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation ...
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