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1
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
In: IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events Workshops (DCASE 2019) ; https://hal.inria.fr/hal-03132165 ; IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events Workshops (DCASE 2019), Oct 2019, New York, United States ; http://dcase.community/challenge2019/index (2019)
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2
ICDAR 2019 Competition on Post-OCR Text Correction
In: 15th International Conference on Document Analysis and Recognition ; https://hal.archives-ouvertes.fr/hal-02304334 ; 15th International Conference on Document Analysis and Recognition, Sep 2019, Sydney, Australia. pp.1588-1593 (2019)
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3
Impact and Detection of Facial Beautification in Face Recognition: An Overview
In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.inria.fr/hal-02378939 ; IEEE Access, IEEE, 2019, ⟨10.1109/ACCESS.2019.DOI⟩ (2019)
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4
A novel voice conversion approach using cascaded powerful cepstrum predictors with excitation and phase extracted from the target training space encoded as a KD-tree
In: ISSN: 1381-2416 ; EISSN: 1572-8110 ; International Journal of Speech Technology ; https://hal.inria.fr/hal-02315052 ; International Journal of Speech Technology, Springer Verlag, 2019, pp.1-13. ⟨10.1007/s10772-019-09643-4⟩ (2019)
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5
FACIAL RECOGNITION AND PREVENTIVE CONTROLS ON THE PUBLIC HIGHWAY, THE CHALLENGE OF ACCEPTABILITY
In: Les Notes du CREOGN ; https://hal.archives-ouvertes.fr/hal-03358470 ; Les Notes du CREOGN, Centre de Recherche de l'Ecole des Officiers de la Gendarmerie Nationale, In press, 43 ; https://www.gendarmerie.interieur.gouv.fr/crgn/content/download/1388/document/Note_43_Facial_recognition.pdf?inLanguage=fre-FR&version=1 (2019)
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6
F0 modeling using DNN for Arabic parametric speech synthesis
In: INNSBDDL 2019 - INNS Big Data and Deep Learning ; https://hal.inria.fr/hal-02177496 ; INNSBDDL 2019 - INNS Big Data and Deep Learning, Apr 2019, Sestri Levante, Italy (2019)
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7
VoiceHome-2, an extended corpus for multichannel speech processing in real homes
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.inria.fr/hal-01923108 ; Speech Communication, Elsevier : North-Holland, 2019, 106, pp.68-78. ⟨10.1016/j.specom.2018.11.002⟩ (2019)
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8
Extracting Data From Line Charts in Scanned Medical Documents
Silva de Azevedo, Kathleen. - : Auckland University of Technology, 2019
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9
Sign Language Video Analysis For Automatic Recognition and Detection
In: 14th IEEE International Conference on Automatic Face and Gesture Recognition ; https://hal.archives-ouvertes.fr/hal-02146366 ; 14th IEEE International Conference on Automatic Face and Gesture Recognition, May 2019, Lille, France (2019)
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10
Multimodal deep networks for text and image-based document classification ; Réseau de neurones multimodal pour la classification de documents image/texte
In: Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA) ; https://hal.archives-ouvertes.fr/hal-02163257 ; Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle (APIA), Jul 2019, Toulouse, France (2019)
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11
Automatic recognition of Sign Language structures in RGB videos: the detection of pointing and lexical signs
In: https://hal.archives-ouvertes.fr/hal-02146368 ; 2019 (2019)
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12
Optimization of a gesture representation network for Sign Language analysis
In: https://hal.archives-ouvertes.fr/hal-02146369 ; 2019 (2019)
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13
Aphasia outcome: the interactions between initial severity, lesion size and location
In: ISSN: 0340-5354 ; EISSN: 1432-1459 ; Journal of Neurology ; https://hal.inria.fr/hal-02418331 ; Journal of Neurology, Springer Verlag, 2019, 266 (6), pp.1303-1309. ⟨10.1007/s00415-019-09259-3⟩ (2019)
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14
Comparaison de systèmes automatiques de reconnaissance grand vocabulaire appliqué à de la parole pathologique
In: Actes des 8e Journees de Phonetique Clinique ; 8e Journees de Phonetique Clinique (JPC 2019) ; https://hal.archives-ouvertes.fr/hal-02421557 ; 8e Journees de Phonetique Clinique (JPC 2019), May 2019, Mons, Belgique. pp.53-54 (2019)
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15
ImageCLEF 2019: multimedia retrieval in medicine, lifelogging, security and nature
In: Ionescu, Bogdan, Müller, Henning, Péteri, Renaud, Dicente Cid, Yashin, Liauchuk, Vitali, Kovalev, Vassili, Vasillopoulos, Nikos, Karampidis, Konstantinos, Chamberlain, John, Clark, Adrian, Campello, Antonio, Dang-Nguyen, Duc-Tien orcid:0000-0002-2761-2213 , Gurrin, Cathal orcid:0000-0003-4395-7702 , Garcia, Narciso, Kavallieratou, Ergina, del Blanco, Roberto and Cuevas, Carlos (2019) ImageCLEF 2019: multimedia retrieval in medicine, lifelogging, security and nature. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction, 9 - 12 Sept 2019, Lugano, Switzerland. ISBN 978-3-030-28576-0 (2019)
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16
Les instruments chanteurs
In: ISSN: 1263-8072 ; Acoustique et Techniques : trimestriel d'information des professionnels de l'acoustique ; https://hal.archives-ouvertes.fr/hal-02025861 ; Acoustique et Techniques : trimestriel d'information des professionnels de l'acoustique, Neuilly-sur-Seine : Centre d'information et de documentation sur le bruit, 2019, 89, pp.36-43 (2019)
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17
Analyse de la qualité des phrases pour un bilan objectif de la parole
In: https://hal.archives-ouvertes.fr/hal-02389764 ; [Rapport de recherche] INSA Toulouse. 2019 (2019)
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18
T-Voks: the Singing and Speaking Theremin
In: NIME 2019 International Conference on New Interfaces for Musical Expression ; https://hal.archives-ouvertes.fr/hal-02197063 ; NIME 2019 International Conference on New Interfaces for Musical Expression, UFRGS, Jun 2019, Porto Alegre, Brazil. pp.110-115 ; http://www.nime.org/proceedings/2019/nime2019_022.pdf (2019)
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19
SEQUENCE-TO-SEQUENCE MODELLING OF F0 FOR SPEECH EMOTION CONVERSION
In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.sorbonne-universite.fr/hal-02018439 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom (2019)
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20
Visual Disambiguation of Preprositional Phrase Attachments : Multimodal Machine Learning for Syntactic Analysis Correction
In: Advances in Computational Intelligence 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019 ; IWANN: International Work-Conference on Artificial Neural Networks ; https://hal.archives-ouvertes.fr/hal-02465051 ; IWANN: International Work-Conference on Artificial Neural Networks, Jun 2019, Gran Canaria, Spain. ⟨10.1007/978-3-030-20521-8_52⟩ (2019)
Abstract: International audience ; Prepositional phrase attachments are known to be an important source of errors in parsing natural language. In some cases, pure syntactic features cannot be used for prepositional phrase attachment disambiguation while visual features could help. In this work, we are interested in the impact of the integration of such features in a parsing system. We propose a correction strategy pipeline for prepositional attachments using visual information, trained on a multimodal corpus of images and captions. The evaluation of the system shows us that using visual features allows, in certain cases, to correct the errors of a parser. It also helps to identify the most difficult aspects of such integration.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
URL: https://hal.archives-ouvertes.fr/hal-02465051/file/IWANN_2019.pdf
https://doi.org/10.1007/978-3-030-20521-8_52
https://hal.archives-ouvertes.fr/hal-02465051/document
https://hal.archives-ouvertes.fr/hal-02465051
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