Software: NMTPYLicence: MIT LicenseGitHub: https://github.com/lium-lst/nmtpyURL: https://arxiv.org/abs/1706.00457Author(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 would be easy to implement […]
Software: NMTPYTORCHLicence: MIT LicenseGitHub: https://github.com/lium-lst/nmtpytorch/URL: https://arxiv.org/abs/1706.00457Author(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.
Software: LIUM Speaker DiarizationLicence: GPLURL: https://projets-lium.univ-lemans.fr/spkdiarization/Outil de segmentation et regroupement locuteur (Speaker diarization) en java.
Software: SIDEKITLicence: LGPLGitHub: https://git-lium.univ-lemans.fr/Larcher/sidekitURL: https://projets-lium.univ-lemans.fr/sidekit/Author(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 audio data to the analysis […]
Software: SIDEKIT for diarization (s4d)Licence: LGPLGitHub: https://git-lium.univ-lemans.fr/Meignier/s4dURL: https://projets-lium.univ-lemans.fr/s4d/Author(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 for speaker diarization including the […]
Thematic segmentation of automatic transcriptions and enrichment of educational documents in a lecture contextStarting: 23/01/2017PhD Student: Salima MdhaffarAdvisor(s): Yannick Estève (LIUM, LST)Co-advisor(s): Antoine Laurent (LIUM, LST), Nicolas Hernandez (LS2N), Solen Quiniou (LS2N)Funding: ANR PASTEL ProjectThis thesis is a part of the PASTEL project (Performing Automated Speech Transcription for Enhancing Learning), which aims to explore the […]
Speaker recognition on large scale in audiovisual media, in interaction with human annotatorStarting: 03/10/2016PhD Student: Pierre-Alexandre BrouxAdvisor(s): Sylvain Meignier (LIUM – LST)Co-advisor(s): David Doukhan, Simon Petitrenaud (LIUM – LST) & Jean Carrive (INA Expert)Funding: CIFRE (ina EXPERT)La thèse proposée s’articulera autour de la reconnaissance de locuteurs à large échelle dans les archives radio et télévisuelles […]
Variable context modeling for speaker recognitionStarting: 03/10/2016PhD Student: Florent DesnousAdvisor(s): Sylvain Meignier (LIUM – LST)Co-advisor(s): Anthony Larcher (LIUM – LST)Funding: Contrat DoctoralThe aim of this thesis is to develop variable context speaker models (scalable) that integrate phonetic information produced by the speaker. These models will be learned on a significant amount of enrollment data (> […]
MAGMATDate: 10/2016 – 10/2019Funding: DGA/DGFCall: RapidPartners: Airbus D&S (France), Voxygen (France)URL: https://lium.univ-lemans.fr/en/magmat/LIUM Participant(s): Loïc BarraultWalid AransaLe projet MAGMAT vise à définir et mettre en œuvre une méthodologie agile et incrémentale de développement en temps contraint d’un système de traduction le la parole vers la parole. Sur le plan du développement de langues, deux objectifs principaux […]
PASTELDate: 10/2016 – 04/2021Funding: ANRCall: Interactions, Robotique, Contenus / Automatique, signal 2016Partners: Orange Lab (France), cren (France), LS2N (France)URL: https://projets-lium.univ-lemans.fr/pastelLIUM Participant(s): Christophe ChoquetAntoine LaurentVincent BettenfeldNathalie CamelinChristophe DesprésMadeth MaySalima MdhaffarLahcen OubahssiClaudine Piau-ToffolonAsmaa DarouichRémi VenantPASTEL is a research project that aims to explore the potential of real time and automatic transcriptions for the instrumentation of mixed educational […]
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