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1
Contribution d'informations syntaxiques aux capacités de généralisation compositionelle des modèles seq2seq convolutifs
In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265890 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.134-141 (2021)
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2
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech
In: Conference on Natural Language Learning (CoNLL) ; https://hal.archives-ouvertes.fr/hal-02962275 ; Conference on Natural Language Learning (CoNLL), Nov 2020, Virtual, France (2020)
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3
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible
In: Proceedings of The 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02611059 ; Proceedings of The 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.6486 - 6493 (2020)
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4
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ...
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5
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech
In: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) ; https://hal.archives-ouvertes.fr/hal-02359540 ; Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), Nov 2019, Hong Kong, China. pp.339-348, ⟨10.18653/v1/K19-1032⟩ (2019)
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6
Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese
In: International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-02013984 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.8618-8622, ⟨10.1109/ICASSP.2019.8683069⟩ (2019)
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MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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9
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech ...
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10
Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese ...
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11
Emergence of attention in a neural model of visually grounded speech
In: Learning Language in Humans and in Machines 2018 conference ; https://hal.archives-ouvertes.fr/hal-01970514 ; Learning Language in Humans and in Machines 2018 conference, Jul 2018, Paris, France (2018)
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12
Synthetically Spoken STAIR ...
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Synthetically Spoken STAIR ...
Abstract: This dataset consists of synthetically spoken captions for the STAIR dataset. Following the same methodology as Chrupała et al. (see article | dataset | code) we generated speech for each caption of the STAIR dataset using Google's Text-to-Speech API. This dataset was used for visually grounded speech experiments (see article accepted at ICASSP2019). @INPROCEEDINGS{8683069, author={W. N. {Havard} and J. {Chevrot} and L. {Besacier}}, booktitle={ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese}, year={2019}, volume={}, number={}, pages={8618-8622}, keywords={information retrieval;natural language processing;neural nets;speech processing;word processing;artificial neural attention;human attention;monolingual models;part-of-speech tags;nouns;neural models;visually grounded speech signal;English language;Japanese language;word ...
Keyword: mscoco; speech; stair; visually grounded speech
URL: https://zenodo.org/record/1495069
https://dx.doi.org/10.5281/zenodo.1495069
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SPEECH-COCO ...
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SPEECH-COCO ...
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SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set ...
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