Vers une approche hybride pour l’analyse d’opinions en arabeDébuté le : 03/10/2016Doctorant : Amira BarhoumiDirecteur(s) de Thèse : Yannick Estève (LIUM, LST)Co-encadrant(s) de Thèse : Nathalie Camelin (LIUM, LST) & Lamia Hadrich Belguith (MIRACL, Tunisie)Financement : Convention de cotutelle (LIUM, LST) & (MIRACL, Tunisie)L’analyse d’opinions est un domaine de recherche en plein essor et a […]
Corpus : TED-LIUM Release 3Licences : Creative Commons BY-NC-ND 3.0 (attribution/non-commercial/no-derivatives)Auteur(s) : François FernandezVincent NguyenSahar GhannayNatalia TomashenkoYannick EstèveThis is the TED-LIUM corpus release 3, licensed under Creative Commons BY-NC-ND 3.0 (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). All talks and text are property of TED Conferences LLC. This new TED-LIUM release was made through a collaboration between the Ubiqus […]
Corpus : TED-LIUM Release 2Licences : Creative Commons BY-NC-ND 3.0 (attribution/non-commercial/no-derivatives)Auteur(s) : Anthony RousseauPaul DelégliseYannick EstèveThis is the TED-LIUM corpus release 2, licensed under Creative Commons BY-NC-ND 3.0 (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). The TED-LIUM corpus was made from audio talks and their transcriptions available on the TED website. We have prepared and filtered these data in order […]
Corpus : TED-LIUM Release 1Licences : Creative Commons BY-NC-ND 3.0 (attribution/non-commercial/no-derivatives)Auteur(s) : Anthony RousseauPaul DelégliseYannick EstèveThis is the TED-LIUM corpus release 1, licensed under Creative Commons BY-NC-ND 3.0 (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.en). The TED-LIUM corpus is English-language TED talks, with transcriptions, sampled at 16kHz. It contains about 118 hours of speech. More details are given in […]
Logiciel : NMTPYLicences : MIT LicenseGitHub : https://github.com/lium-lst/nmtpyURL : https://arxiv.org/abs/1706.00457Auteur(s) : Ozan CaglayanMercedes García MartínezAdrien BardetWalid AransaLoïc BarraultFethi Bougaresnmtpy is a suite of Python tools, primarily based on the starter code provided in dl4mt-tutorial for training neural machine translation networks using Theano. The basic motivation behind forking dl4mt-tutorial was to create a framework where it […]
Logiciel : NMTPYTORCHLicences : MIT LicenseGitHub : https://github.com/lium-lst/nmtpytorch/URL : https://arxiv.org/abs/1706.00457Auteur(s) : Ozan CaglayanMercedes García MartínezAdrien BardetWalid AransaFethi BougaresLoïc BarraultThis is the PyTorch fork of nmtpy, a sequence-to-sequence framework which was originally a fork of dl4mt-tutorial.
Logiciel : LIUM Speaker DiarizationLicences : GPLURL : https://projets-lium.univ-lemans.fr/spkdiarization/Outil de segmentation et regroupement locuteur (Speaker diarization) en java.
Logiciel : SIDEKITLicences : LGPLGitHub : https://git-lium.univ-lemans.fr/Larcher/sidekitURL : https://projets-lium.univ-lemans.fr/sidekit/Auteur(s) : Anthony LarcherKong Aik LeeSylvain Meignier Welcome to SIDEKIT documentation! SIDEKIT is an open source package for Speaker and Language recognition. The aim of SIDEKIT is to provide an educational and efficient toolkit for speaker/language recognition including the whole chain of treatment that goes from the […]
Logiciel : SIDEKIT for diarization (s4d)Licences : LGPLGitHub : https://git-lium.univ-lemans.fr/Meignier/s4dURL : https://projets-lium.univ-lemans.fr/s4d/Auteur(s) : Pierre-Alexandre BrouxFlorent DesnousAnthony LarcherSylvain Meignier Welcome to SIDEKIT for diarization documentation! SIDEKIT for diarization (s4d as short name) is an open source package extension of SIDEKIT for Speaker diarization . The aim of S4D is to provide an educational and efficient toolkit […]
Segmentation thématique de transcriptions automatiques et appariement de documents pédagogiques dans un contexte de cours magistralDébuté le : 23/01/2017Doctorant : Salima MdhaffarDirecteur(s) de Thèse : Yannick Estève (LIUM, LST)Co-encadrant(s) de Thèse : Antoine Laurent (LIUM, LST), Nicolas Hernandez (LS2N), Solen Quiniou (LS2N)Financement : ANR Projet PASTELCette thèse s’inscrit dans le cadre du projet PASTEL (Performing Automated Speech […]
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