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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...26 Hits 1 – 20 of 501 1 The contextual logic Kohler, Arnaud In: https://hal.archives-ouvertes.fr/hal-03195162 ; 2022 (2022) BASE Show details 2 Learning and controlling the source-filter representation of speech with a variational autoencoder Sadok, Samir; Leglaive, Simon; Girin, Laurent; Alameda-Pineda, Xavier; Séguier, Renaud In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022) Abstract: 17 pages, 4 figures, companion website: https://samsad35.github.io/site-sfvae/ ; Understanding and controlling latent representations in deep generative models is a challenging yet important problem for analyzing, transforming and generating various types of data. In speech processing, inspiring from the anatomical mechanisms of phonation, the source-filter model considers that speech signals are produced from a few independent and physically meaningful continuous latent factors, among which the fundamental frequency f0 and the formants are of primary importance. In this work, we show that the source-filter model of speech production naturally arises in the latent space of a variational autoencoder (VAE) trained in an unsupervised manner on a dataset of natural speech signals. Using only a few seconds of labeled speech signals generated with an artificial speech synthesizer, we experimentally illustrate that f0 and the formant frequencies are encoded in orthogonal subspaces of the VAE latent space and we develop a weakly-supervised method to accurately and independently control these speech factors of variation within the learned latent subspaces. Without requiring additional information such as text or human-labeled data, this results in a deep generative model of speech spectrograms that is conditioned on f0 and the formant frequencies, and which is applied to the transformation of speech signals. Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; Deep generative models; Representation learning; Source-filter model; Variational autoencoder URL: https://hal.archives-ouvertes.fr/hal-03650569 https://hal.archives-ouvertes.fr/hal-03650569/document https://hal.archives-ouvertes.fr/hal-03650569/file/sadok2022learning.pdf BASE Hide details 3 Assessing the impact of OCR noise on multilingual event detection over digitised documents Boros, Emanuela; Nguyen, Nhu Khoa; Lejeune, Gaël... In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022) BASE Show details 4 Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents Ehrmann, Maud; Romanello, Matteo; Doucet, Antoine... In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022) BASE Show details 5 Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios? Riabi, Arij; Sagot, Benoît; Seddah, Djamé In: Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021) ; https://hal.inria.fr/hal-03527328 ; Seventh Workshop on Noisy User-generated Text (W-NUT 2021, colocated with EMNLP 2021), Jan 2022, punta cana, Dominican Republic ; https://aclanthology.org/2021.wnut-1.47/ (2022) BASE Show details 6 Annotation of Morphological Errors in L2 Russian Corpus Analysis Kor Chahine, Irina; Uetova, Ekaterina In: 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable ; https://hal.archives-ouvertes.fr/hal-03620469 ; 21st Annual Second Language Acquisition and Teaching Interdisciplinary Roundtable, University of Arizona, Feb 2022, Tucson, United States (2022) BASE Show details 7 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 8 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 9 A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution Borovikova, Mariya; Grobol, Loïc; Lefeuvre-Halftermeyer, Anaïs... In: HumEval at ACL ; https://hal.archives-ouvertes.fr/hal-03650294 ; HumEval at ACL, May 2022, Dublin, Ireland ; https://humeval.github.io/ (2022) BASE Show details 10 Can machines learn to see without visual databases? Betti, Alessandro; Gori, Marco; Melacci, Stefano... In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022) BASE Show details 11 Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition Sivasankaran, Sunit; Vincent, Emmanuel; Fohr, Dominique In: EUSIPCO 2020 - 28th European Signal Processing Conference ; https://hal.inria.fr/hal-02355669 ; EUSIPCO 2020 - 28th European Signal Processing Conference, Jan 2021, Amsterdam / Virtual, Netherlands. ⟨10.23919/Eusipco47968.2020.9287541⟩ ; https://eusipco2020.org/ (2021) BASE Show details 12 A Neural Approach for Detecting Morphological Analogies Alsaidi, Safa; Decker, Amandine; Lay, Puthineath... In: The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) ; https://hal.inria.fr/hal-03313556 ; The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto/Online, Portugal (2021) BASE Show details 13 Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework Sen, Nirmalya; Sahidullah, Md; Patil, Hemant... In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.archives-ouvertes.fr/hal-03232723 ; International Journal of Speech Technology, Springer Verlag, In press, ⟨10.1007/s10772-021-09862-8⟩ (2021) BASE Show details 14 Preference Aggregation in the Generalised Unavailable Candidate Model Sébert, Arnaud,; Maudet, Nicolas; Perny, Patrice... In: 7th International Conference on Algorithmic Decision Theory ; https://hal.sorbonne-universite.fr/hal-03384439 ; 7th International Conference on Algorithmic Decision Theory, University of Toulouse, Nov 2021, Toulouse, France. pp.35-50, ⟨10.1007/978-3-030-87756-9_3⟩ ; https://www.irit.fr/ADT2021/ (2021) BASE Show details 15 SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Kovač, Grgur; Portelas, Rémy; Hofmann, Katja... In: https://hal.archives-ouvertes.fr/hal-03372670 ; 2021 (2021) BASE Show details 16 Optimizing Word Alignments with Better Subword Tokenization Ngo Ho, Anh Khoa; Yvon, François In: The 18th biennial conference of the International Association of Machine Translation ; https://hal.archives-ouvertes.fr/hal-03322842 ; The 18th biennial conference of the International Association of Machine Translation, Aug 2021, Miami (virtual), United States (2021) BASE Show details 17 Representation of Explanations of Possibilistic Inference Decisions BAAJ, Ismaïl; Poli, Jean-Philippe; Ouerdane, Wassila... In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty ; https://hal-cea.archives-ouvertes.fr/cea-03406884 ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty, Sep 2021, Prague, Czech Republic. pp.513-527, ⟨10.1007/978-3-030-86772-0_37⟩ (2021) BASE Show details 18 Grounding Language to Autonomously-Acquired Skills via Goal Generation Akakzia, Ahmed; Colas, Cédric; Oudeyer, Pierre-Yves... In: ICLR 2021 - Ninth International Conference on Learning Representation ; https://hal.inria.fr/hal-03121146 ; ICLR 2021 - Ninth International Conference on Learning Representation, May 2021, Vienna / Virtual, Austria (2021) BASE Show details 19 État de l'art du changement sémantique à partir de plongements contextualisés Montariol, Syrielle; Doucet, Antoine; Allauzen, Alexandre In: COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference ; https://hal.archives-ouvertes.fr/hal-03320337 ; COnférence en Recherche d'Informations et Applications - CORIA 2021, French Information Retrieval Conference, Apr 2021, Grenoble (virtuel), France (2021) BASE Show details 20 EVOLEX : la reconnaissance vocale au service du diagnostic des dysfonctionnements langagiers Petiot, Jim; Gravellier, Lila; Jucla, Mélanie... In: Séminaire AFCP 2021 – Phonétique Clinique ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03269242 ; Séminaire AFCP 2021 – Phonétique Clinique, May 2021, Toulouse (virtuel), France ; http://www.afcp-parole.org/seminaire-afcp-phonetique-clinique-27-mai-2021/ (2021) BASE Show details Page: 1 2 3 4 5...26

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