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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 Page: 1 2 3 4 5 6 Hits 1 – 20 of 120 1 Investigating alignment interpretability for low-resource NMT Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-020-09254-w⟩ (2021) BASE Show details 2 Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation Nguyen, Ha; Estève, Yannick; Besacier, Laurent In: INTERSPEECH 2021 ; https://hal.archives-ouvertes.fr/hal-03372487 ; INTERSPEECH 2021, Aug 2021, Brno, Czech Republic (2021) BASE Show details 3 Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input Stephenson, Brooke; Hueber, Thomas; Girin, Laurent... In: Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03372802 ; Interspeech 2021 - 22nd Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic. pp.3865-3869, ⟨10.21437/Interspeech.2021-275⟩ (2021) BASE Show details 4 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Evain, Solène; Nguyen, Ha; Le, Hang... In: INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021) BASE Show details 5 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Evain, Solène; Nguyen, Ha; Le, Hang... In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021) BASE Show details 6 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Evain, Solène; Nguyen, Ha; Le, Hang... In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021) BASE Show details 7 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 8 Lightweight Adapter Tuning for Multilingual Speech Translation Le, Hang; Pino, Juan; Wang, Changhan... In: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03294912 ; The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Aug 2021, Bangkok (Virtual), Thailand (2021) BASE Show details 9 Visualizing Cross-Lingual Discourse Relations in Multilingual TED Corpora Kim, Zae; Nikoulina, Vassilina; Kang, Dongyeop... In: Proceedings of the 2nd Workshop on Computational Approaches to Discourse ; CODI 2021: 2nd Workshop on Computational Approaches to Discourse ; https://hal.archives-ouvertes.fr/hal-03642341 ; CODI 2021: 2nd Workshop on Computational Approaches to Discourse, Nov 2021, Punta Cana, Dominican Republic. ⟨10.18653/v1/2021.codi-main.16⟩ (2021) BASE Show details 10 Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? Kim, Zae,; Besacier, Laurent; Nikoulina, Vassilina... In: Findings of ACL 2021 ; https://hal.archives-ouvertes.fr/hal-03299010 ; Findings of ACL 2021, Aug 2021, Bangkok (virtual), Thailand (2021) BASE Show details 11 User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis Adams, Oliver; Galliot, Benjamin; Wisniewski, Guillaume... In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021) BASE Show details 12 Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech Garnerin, Mahault; Rossato, Solange; Besacier, Laurent In: Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing ; 3rd Workshop on Gender Bias in Natural Language Processing ; https://hal.univ-grenoble-alpes.fr/hal-03472117 ; 3rd Workshop on Gender Bias in Natural Language Processing, Aug 2021, Online, France. pp.86-92, ⟨10.18653/v1/2021.gebnlp-1.10⟩ (2021) BASE Show details 13 Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Inyoung; Besacier, Laurent. - : Underline Science Inc., 2021 BASE Show details 14 Lightweight Adapter Tuning for Multilingual Speech Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Besacier, Laurent; Besacier, laurent.besacier@univ-grenoble-alpes.fr. - : Underline Science Inc., 2021 BASE Show details 15 Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Besacier, Laurent; Kim, Zae Myung. - : Underline Science Inc., 2021 BASE Show details 16 Multilingual Unsupervised Neural Machine Translation with Denoising Adapters ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berard, Alexandre; Besacier, Laurent. - : Underline Science Inc., 2021 BASE Show details 17 User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis Adams, Oliver; Galliot, Benjamin; Wisniewski, Guillaume... In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021) BASE Show details 18 Collaborative transcription in Australian Aboriginal communities Le Ferrand, Eric; Bettinson, Mat; Bird, Steven. - 2021 BASE Show details 19 Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation Kim, Inyoung; Besacier, Laurent; Calapodescu, Ioan; Latif, Siddique. - : ACL Home Association for Computational Linguistics, 2021 Abstract: While End-2-End Text-to-Speech (TTS) has made significant progresses over the past few years, these systems still lack intuitive user controls over prosody. For instance, generating speech with fine-grained prosody control (prosodic prominence, contextually appropriate emotions) is still an open challenge. In this paper, we investigate whether we can control prosody directly from the input text, in order to code information related to contrastive focus which emphasizes a specific word that is contrary to the presuppositions of the interlocutor. We build and share a specific dataset for this purpose and show that it allows to train a TTS system were this fine-grained prosodic feature can be correctly conveyed using control tokens. Our evaluation compares synthetic and natural utterances and shows that prosodic patterns of contrastive focus (variations of Fo, Intensity and Duration) can be learnt accurately. Such a milestone is important to allow, for example, smart speakers to be programmatically controlled in terms of output prosody. URL: https://aclanthology.org/2021.conll-1.42/ http://eprints.usq.edu.au/45595/1/2021.conll-1.42.pdf http://eprints.usq.edu.au/45595/7/2021.conll-Proceedings%20Front%20matter.pdf http://eprints.usq.edu.au/45595/ https://doi.org/10.18653/v1/2021.conll-1.42 BASE Hide details 20 FlauBERT: Unsupervised Language Model Pre-training for French Le, Hang; Vial, Loïc; Frej, Jibril... In: Proceedings of the 12th Language Resources and Evaluation Conference ; LREC ; https://hal.archives-ouvertes.fr/hal-02890258 ; LREC, 2020, Marseille, France (2020) BASE Show details Page: 1 2 3 4 5 6

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