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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 16 of 16 1 Contribution d'informations syntaxiques aux capacités de généralisation compositionelle des modèles seq2seq convolutifs Popa, Diana Nicoleta; Havard, William,; Coavoux, Maximin... 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) BASE Show details 2 Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech Havard, William,; Besacier, Laurent; Chevrot, Jean-Pierre 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) BASE Show details 3 MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible Zanon Boito, Marcely; Havard, William,; Garnerin, Mahault... 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) BASE Show details 4 Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ... Havard, William N.; Chevrot, Jean-Pierre; Besacier, Laurent. - : arXiv, 2020 BASE Show details 5 Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech Havard, William,; Chevrot, Jean-Pierre; Besacier, Laurent 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) BASE Show details 6 Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese Havard, William,; Chevrot, Jean-Pierre; Besacier, Laurent 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) BASE Show details 7 MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ... Boito, Marcely Zanon; Havard, William N.; Mahault Garnerin. - : Zenodo, 2019 BASE Show details 8 MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ... Boito, Marcely Zanon; Havard, William N.; Mahault Garnerin; Éric Le Ferrand; Besacier, Laurent. - : Zenodo, 2019 Abstract: Abstract The CMU Wilderness Multilingual Speech Dataset is a newly published multilingual speech dataset based on recorded readings of the New Testament. It provides data to build Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models for potentially 700 languages. However, the fact that the source content (the Bible), is the same for all the languages is not exploited to date. Therefore, this article proposes to add multilingual links between speech segments in different languages, and shares a large and clean dataset of 8,130 para-lel spoken utterances across 8 languages (56 language pairs).We name this corpus MaSS (Multilingual corpus of Sentence-aligned Spoken utterances). The covered languages (Basque, English, Finnish, French, Hungarian, Romanian, Russian and Spanish) allow researches on speech-to-speech alignment as well as on translation for syntactically divergent language pairs. The quality of the final corpus is attested by human evaluation performed on a corpus subset (100 utterances, ... Keyword: parallel speech corpus, multilingual alignment, speech-to-speech alignment, speech-to-speech translation URL: https://dx.doi.org/10.5281/zenodo.3354711 https://zenodo.org/record/3354711 BASE Hide details 9 Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech ... Havard, William N.; Chevrot, Jean-Pierre; Besacier, Laurent. - : arXiv, 2019 BASE Show details 10 Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese ... Havard, William N.; Chevrot, Jean-Pierre; Besacier, Laurent. - : arXiv, 2019 BASE Show details 11 Emergence of attention in a neural model of visually grounded speech Havard, William,; Chevrot, Jean-Pierre; Besacier, Laurent 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) BASE Show details 12 Synthetically Spoken STAIR ... Havard, William N.; Chevrot, Jean-Pierre; Besacier, Laurent. - : Zenodo, 2018 BASE Show details 13 Synthetically Spoken STAIR ... Havard, William N.; Chevrot, Jean-Pierre; Besacier, Laurent. - : Zenodo, 2018 BASE Show details 14 SPEECH-COCO ... Havard, William N.; Besacier, Laurent. - : Zenodo, 2017 BASE Show details 15 SPEECH-COCO ... Havard, William N.; Besacier, Laurent. - : Zenodo, 2017 BASE Show details 16 SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set ... Havard, William; Besacier, Laurent; Rosec, Olivier. - : arXiv, 2017 BASE Show details

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