georges linares
Présentation
1994 : Bachelor of Mathematics (University of Toulon) 12/2023 - : Président of Avignon University
2016- 2023: Vice président for Research, Avignon University
2010 : Head of the LIA (Computer Science Laboratory of Avignon's University). GAFES (ANR 2014-2018) : Gallerie des Festivals, Web content analysis, the Web as cultural media, video Re-purposing CONTNOMINA (ANR Blanc 2013-2016) : Speech recognition system contextualisation CONGAS (STREP EU 2012-2014) : COmplex Networks and GAmeS theory RPM2 (ANR CONTINT 2008-2011) : Summarization of Multimedia documents AVI-SON (ANR CONTINT 2008-2011) : Archiving and Indexing large video database by content extraction and analysis EPAC (ANR MDCA 2006-2010) : spontaneous speech transcription Decoda (ANR CONTINT 2010-2012) : analysis of spoken dialogues from call centers ASH (ANR BLANC 2010-2012) : speech recognition system harnessing Sumacc (ANR CONTINT 2011-2013) : concept discovering, modelling and tracking in multimedia web collections PERCOL (Defi ANR CONTINT 2011-2013) : Person identification on audiovisual streamsCV
1995 : Master of Mathematics and Computer Science (University of Marseille-Luminy).
1998 : Phd in Computer Science, "Model Breaking detection in Impulsive environments". (P. Nocéra, H. Méloni).
1999 : Assistant professor, LIA, University of Avignon.
2009 : HDR, "Speech recognition and audio indexing", (Habilitation à diriger les recherches), University of Avignon
2011 : Full Professor, LIA, University of Avignon.
Mandates & responsabilities
2010 : Deputy director of the CERI (Centre for Teaching and Research in Computer Sciences)
2011-2014 : Member of the managment council of the research federation Agorantic track Social and cultural Networks
2012 : Member of the Scientific council of Avignon's University
2012 : Member of the Management council of the Brain and Language Research Institute, responsible of the track NeuroComputation and language processing.
Research Topics
Projects
Partners: Centre Norbert Elias, Eurecom, Syllabs [Project Leader]
Partners: LIA, LORIA [Leader for the LIA]
Partners: LIA, INRIA, Delft (Nederland), Imperial College (UK), Univ. of Pisa (Italy), Technion (Israel) [Participant]
Partners: LIA, Wikio, Sinequa, Syllabs, Eurecom [Leader for the LIA]
Partners: LIA, IRCAD, Xtensive Technology [Project leader]
Partners: IRIT, LIUM,LI [Participant]
Partners: LIF, RATP, Sonear [Participant]
Partners: LIA, LIUM, IRISA [Leader for the LIA]
Partners: LIA, Eurecom, Wikio, Syllabs [Project leader]
Partners: LIF, LIA, Univ. Lille, Orange Lab [Participant]
Publications
Publications
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WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection12th International Conference on Language Resources and Evaluation (LREC), May 2020, Marseille, France. pp.1375-1383 |
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Tuning Graph2vec with Node Labels for Abuse Detection in Online Conversations11ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2020, Montpellier, France |
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Serial Speakers: a Dataset of TV Series12th International Conference on Language Resources and Evaluation (LREC), May 2020, Marseille, France. pp.4256-4264 |
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E2E-SINCNET: TOWARD FULLY END-TO-END SPEECH RECOGNITIONICASSP, May 2020, Barcelone, Spain |
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M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech UnderstandingINTERSPEECH 2019, Sep 2019, Gratz, Austria |
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Real to H-space Encoder for Speech RecognitionINTERSPEECH 2019, Jun 2019, Graz, Austria |
Réseaux de neurones convolutifs de quaternions pour l'identification de thèmes de conversations téléphoniquesCORIA 2019, Mar 2019, Lyon, France |
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Quaternion convolutional neural networks for heterogeneous image processingIEEE ICASSP, May 2019, Brighton, United Kingdom |
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Quaternion Recurrent Neural NetworksICLR 2019, May 2019, Nouvelle Orléans, United States |
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Abusive Language Detection in Online Conversations by Combining Content- and Graph-based FeaturesICWSM International Workshop on Modeling and Mining Social-Media-Driven Complex Networks, Jun 2019, Munich, Germany. pp.8 |
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Speech Recognition with Quaternion Neural NetworksNIPS 2018 - IRASL Workshop, Dec 2018, Montréal, Canada |
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Quaternion Convolutional Neural Networks for End-to-End Automatic Speech RecognitionInterspeech 2018, Sep 2018, HYDERABAD, India. pp.22-26, ⟨10.21437/Interspeech.2018-1898⟩ |
Quaternion Convolutional Neural Networks For Theme Identification Of Telephone Conversations2018 IEEE Spoken Language Technology Workshop (SLT), Dec 2018, Athens, Greece. pp.685-691 |
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Détection de messages abusifs au moyen de réseaux conversationnels8ème Conférence Modèles et Analyse des Réseaux : Approches Mathématiques et Informatiques (MARAMI), Oct 2017, La Rochelle, France |
Réseaux de neurones de quaternions pour le traitement du langage.CORIA 2017, Mar 2017, Marseille, France |
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Graph-based Features for Automatic Online Abuse Detection5th International Conference on Statistical Language and Speech Processing (SLSP), Oct 2017, Le Mans, France. pp.70-81, ⟨10.1007/978-3-319-68456-7_6⟩ |
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Deep quaternion neural networks for spoken language understanding2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Dec 2017, Okinawa, Japan. pp.504-511 |
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Detection of abusive messages in an on-line community14ème Conférence en Recherche d'Information et Applications (CORIA), Mar 2017, Marseille, France. pp.153-168, ⟨10.24348/coria.2017.16⟩ |
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Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone ConversationsInterspeech 2017, Aug 2017, Stockholm, Sweden. pp.3325-3328, ⟨10.21437/Interspeech.2017-1029⟩ |
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Impact Of Content Features For Automatic Online Abuse DetectionInternational Conference on Computational Linguistics and Intelligent Text Processing (CICLing), Apr 2017, Budapest, Hungary. pp.404-419, ⟨10.1007/978-3-319-77116-8_30⟩ |
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Document Level Semantic Context for Retrieving OOV Proper Names2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Mar 2016, Shanghai, China. pp.6050-6054, ⟨10.1109/ICASSP.2016.7472839⟩ |
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Narrative Smoothing: Dynamic Conversational Network for the Analysis of TV Series Plots2nd International Workshop on Dynamics in Networks (DyNo) / IEEE-ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Aug 2016, San Francisco, United States. pp.1111-1118, ⟨10.1109/ASONAM.2016.7752379⟩ |
Quaternion Neural Networks for Spoken Language Understanding2016 IEEE Spoken Language Technology Workshop (SLT), Dec 2016, San Diego, United States. pp.362-368 |
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Predicting popularity dynamics of online contents using data filtering methods2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Sep 2016, Monticello, France. pp.31-38 |
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Extraction de réseaux dynamiques conversationnels par lissage narratif7ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2016, Cergy-Pontoise, France |
Improving multi-stream classification by mapping sequence-embedding in a high dimensional space2016 IEEE Spoken Language Technology Workshop (SLT), Dec 2016, San Diego, United States. pp.224-231, ⟨10.1109/SLT.2016.7846269⟩ |
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Spoken Language Understanding in a Latent Topic-based SubspaceInterspeech 2016, Sep 2016, San Francisco, United States. ⟨10.21437/Interspeech.2016-50⟩ |
A log-linear weighting approach in the Word2vec space for spoken language understanding2016 IEEE Spoken Language Technology Workshop (SLT), Dec 2016, San Diego, United States. pp.356-361, ⟨10.1109/SLT.2016.7846289⟩ |
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Learning Word Importance with the Neural Bag-of-Words ModelACL, Representation Learning for NLP (Repl4NLP) workshop, Aug 2016, Berlin, Germany |
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Improved Neural Bag-of-Words Model to Retrieve Out-of-Vocabulary Words in Speech RecognitionINTERSPEECH 2016, Sep 2016, San Francisco, United States. ⟨10.21437/Interspeech.2016-1219⟩ |
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Parallel Long Short-Term Memory for multi-stream classification2016 IEEE Spoken Language Technology Workshop (SLT), Dec 2016, San Diego, United States. pp.218-223, ⟨10.1109/SLT.2016.7846268⟩ |
Deep Stacked Autoencoders for Spoken Language UnderstandingInterspeech 2016, Sep 2016, San Francisco, United States. pp.720-724, ⟨10.21437/Interspeech.2016-63⟩ |
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Dynamiques des popularités dans YouTube12th French Information Retrieval Conference, Mar 2015, Paris, France. pp.39-54 |
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Latent Topic Model Based Representations for a Robust Theme Identification of Highly Imperfect Automatic Transcriptions16th International Conference, CICLing 2015, Apr 2015, Le Caire, Egypt. ⟨10.1007/978-3-319-18117-2_44⟩ |
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Audiovisual speaker diarization of TV series2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia. pp.4799-4803, ⟨10.1109/ICASSP.2015.7178882⟩ |
Identification de personnes dans des flux multimédiaCORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Mar 2015, PARIS, France. pp.239-251 |
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Détection de locuteurs dans les séries TVCoria 2015, Mar 2015, Paris, France |
OOV Proper Name Retrieval using Topic and Lexical Context ModelIEEE International Conference on Acoustics, Speech and Signal Processing, 2015, Brisbane, Australia |
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Audio-Based Video Genre IdentificationTASLP 2015 Transactions on Audio Speech and Language, 2015, Piscataway, United States. ⟨10.1109/TASLP.2014.2387411⟩ |
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Topic-space based setup of a neural network for theme identification of highly imperfect transcriptions2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) , Dec 2015, Scottsdale, United States. ⟨10.1109/ASRU.2015.7404815⟩ |
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Integration of word and semantic features for theme identification in telephone conversations6th International Workshop on Spoken Dialog Systems (IWSDS 2015), 2015, Busan, South Korea |
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An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documentsthe 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP),, Oct 2014, Doha, Qatar. ⟨10.3115/v1/D14-1051⟩ |
Sumacc Project's Corpus: A Topic-based Query Extention Approach to Retrieve Multimedia Documents17th International Conference, TSD, Sep 2014, Brno, Czech Republic |
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Classification de transcriptions automatiques imparfaites : Doit-on adapter le calcul du taux d'erreur-mot ?JEP, Jun 2014, Le Mans, France |
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Improving dialogue classification using a topic space representation and a Gaussian classifier based on the decision ruleIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6853571⟩ |
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Constrained speaker diarization of TV series based on visual patterns2014 IEEE Spoken Language Technology Workshop (SLT), Dec 2014, South Lake Tahoe, United States. pp.390-395, ⟨10.1109/SLT.2014.7078606⟩ |
Factor Analysis based Semantic Variability Compensation for Automatic Conversation RepresentationInterspeech, May 2014, Singapore, Singapore |
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A COMBINED THEMATIC AND ACOUSTIC APPROACH FOR A MUSIC RECOMMENDATION SERVICE IN TV COMMERCIALSISMIR, Oct 2014, Tapei, Taiwan |
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Characterizing and Predicting Bursty Events: The Buzz Case Study on TwitterLREC, May 2014, Reykjavik, Iceland |
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Multimodal understanding for person recognition in video broadcastsInterspeech, Singapore, 2014, Unknown, Unknown Region |
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Theme Identification in Human-Human Conversations with Features from Specific Speaker Type Hidden SpacesINTERSPEECH, May 2014, Singapore, Singapore |
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I-vector based Representation of Highly Imperfect Automatic TranscriptionsINTERSPEECH, May 2014, Singapore, Singapore |
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Subspace Gaussian Mixture Models for Dialogues ClassificationInterspeech, May 2014, Singapore, Singapore |
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Extension du vocabulaire d’un système de transcription avec de nouveaux noms propres en utilisant un corpus diachroniqueJournées d'Etude sur la parole, Jun 2014, Le Mans, France |
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Proper Name Retrieval from Diachronic Documents for Automatic Speech Transcription using Lexical and Temporal ContextWorkshop on Speech, Language and Audio in Multimedia, Sep 2014, Penang, Malaysia |
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Bio-Inspired Models for Characterizing YouTube ViewcountIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), Aug 2014, Beijing, China. pp.297-305, ⟨10.1109/ASONAM.2014.6921600⟩ |
A LDA-Based Topic Classification Approach from Highly Imperfect Automatic TranscriptionsLREC, May 2014, Reykjavik, Iceland |
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Modèles contextuels continus pour la reconnaissance des noms de personnes dans des transcriptions automatiquesJEP 2014, Jun 2014, Le Mans, France |
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Author-topic based representation of call-center conversationsIEEE Spoken Language Technology Workshop (SLT) , Dec 2014, South Lake Tahoe United States. ⟨10.1109/SLT.2014.7078577⟩ |
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Person name spotting by combining acoustic matching and LDA topic modelsInterspeech 2013, Aug 2013, Lyon, France |
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PERCOLI: a person identification system for the 2013 REPERE challengeSLAM 2013 : First Workshop on Speech, Language and Audio in Multimedia, Aug 2013, Marseille, France. pp.55-60 |
Thematic Representation of Short Text Messages with Latent Topics: Application in the Twitter contextPACLING 2013, Sep 2013, Tokyo, Japan |
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Combining Acoustic Name Spotting and Continuous Context Models to improve Spoken Person Name Recognition in SpeechInterspeech 2013, Aug 2013, Lyon, France |
LIA @ MediaEval 2013 Crowdsourcing Task: Metadata or not Metadata? That is a Fashion QuestionMediaEval, Oct 2013, Barcelone, Spain |
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Combinaison de thèmes latents pour la contextualisation de TweetsEGC'2013 13e Conférence Francophone sur l'Extraction et la Gestion des connaissances, Jan 2013, Toulouse, France |
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LIA @ MediaEval 2013 MusiClef Task: A Combined Thematic and Acoustic ApproachMediaEval, Oct 2013, Barcelone, Spain |
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Theme Identification in Telephone Service Conversations using Quaternions of Speech FeaturesInterspeech 2013, Aug 2013, Lyon, France |
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A LDA-based method for automatic tagging of Youtube videos14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) , Jul 2013, Paris, France. ⟨10.1109/WIAMIS.2013.6616126⟩ |
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LIA @ MediaEval 2013 Spoken Web Search Task: An I-Vector based ApproachMediaEval, Oct 2013, Barcelone, Spain |
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Prédiction des buzz sur TwitterCORIA, Apr 2013, Neuchâtel, Suisse |
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Event detection from image hosting services by slightly-supervised multi-span context models2013 11TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI), Jun 2013, VESZPREM,, Hungary. ⟨10.1109/CBMI.2013.6576563⟩ |
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Exploring temporal context in diachronic text documents for automatic OOV proper name retrievalLanguage & Technology Conference, Dec 2013, Poznań, Poland. pp.540-544 |
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Searching Segments of Interest in Single Story Web-VideosWorkshop on Image and Audio Analysis for Multimedia Interactive Services (WIAMIS), 2013, Unknown, Unknown Region |
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Person name recognition in ASR outputs using continuous context modelsIEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. ⟨10.1109/ICASSP.2013.6639318⟩ |
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Avancées dans le domaine de la transcription automatique par décodage guidéJEP, 2012, Grenoble, France |
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Low latency combination of parallelized single-pass LVCSR systemsInterspeech, Sep 2012, Portland, United States |
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Statistical Post-Editing of Machine Translation for Domain Adaptation16th Annual Conference of the European Association for Machine Translation (EAMT), May 2012, Trento, Italy |
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Percol0 - un système multimodal de détection de personnes dans des documents vidéo (Percol0 - A multimodal person detection system in video documents) [in French]Actes de la conférence conjointe JEP-TALN-RECITAL 2012, volume 1: JEP, 2012, Grenoble, France. pp.553--560 |
Acoustic modeling for under-resourced languages based on vectorial HMM-states representation using Subspace Gaussian Mixture ModelsIEEE Spoken Language Technology Workshop (SLT), Dec 2012, Miami, United States. ⟨10.1109/SLT.2012.6424245⟩ |
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Post-édition statistique pour l'adaptation aux domaines de spécialité en traduction automatique19ème conférence sur le Traitement Automatique des Langues Naturelles (TALN), Jun 2012, Grenoble, France. pp.527-534 |
Extraction de mots-clefs dans des vidéos Web par Analyse Latente de DirichletTALN 2012, Jun 2012, Grenoble, France |
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Confidence measure for speech indexing based on Latent Dirichlet AllocationINTERSPEECH, Sep 2012, Portland, United States |
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INEX 2012 Benchmark A semantic space for Tweet contextualizationINEX'12, Sep 2012, Rome, Italy |
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Subspace Gaussian Mixture Models Based on Noise Compensation for Speech RecognitionInterspeech 2012, 2012, Unknown, Unknown Region |
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Prediction of transcription indexabilityActes de la conférence conjointe JEP-TALN-RECITAL 2012, volume 1: JEP, 2012, Grenoble, France. pp.x-x |
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognitionIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , May 2011, Prague, Czech Republic. ⟨10.1109/ICASSP.2011.5947453⟩ |
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entitled Extracción automática de léxico bilingüe: experimentos en español y catalánIEEE 14th International Conference on Interactive Collaborative Learning (ICL), Sep 2011, Piestany, Eslovaquia |
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Mediaeval benchmark: Social Event Detection using LDA and external resourcesMediaEval, Sep 2011, Pise, Italy |
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A SEGMENT-LEVEL CONFIDENCE MEASURE FOR SPOKEN DOCUMENT RETRIEVALICASSP 2011, 2011, Prague, Czech Republic |
Subspace Gaussian Mixture Models for vectorial HMM-states representationIEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Dec 2011, Waikoloa, United States. ⟨10.1109/ASRU.2011.6163984⟩ |
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ON THE USE OF LINGUISTIC FEATURES IN AN AUTOMATIC SYSTEM FOR SPEECH ANALYTICS OF TELEPHONE CONVERSATIONSINTERSPEECH, Aug 2011, Florence, Italy |
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LIA @ MediaEval 2011 : Compact Representation of Heterogeneous Descriptors for Video Genre ClassificationMediaEval, Sep 2011, Pise, Italy |
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A Multi-view Approach for Term Translation Spotting12th International Conference, CICLing, Feb 2011, Tokyo, Japan. ⟨10.1007/978-3-642-19437-5_3⟩ |
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Static and dynamic video summariesMM '11 ACM Multimedia Conference , Nov 2011, Scottsdale, United States. ⟨10.1145/2072298.2072068⟩ |
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Bag of n-gram driven decoding for LVCSR system harnessingIEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Dec 2011, Waikoloa, United States |
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Bag of n-gram driven decoding for LVCSR system harnessingAutomatic speech recognition and Understanding Workshop, 2011, Hawaï (USA), Unknown Region |
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Une approche multi-vue pour l'extraction terminologique bilingueCORIA, Mar 2011, Avignon, France |
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Combination of Probabilistic and Possibilistic Language ModelsINTERSPEECH, Sep 2010, Makuhari, Japan |
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Transcriber driving strategies for transcription aid systemLREC, May 2010, Valletta, Malta |
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Décodage interactif de la paroleXXVIIIèmes Journées d'Etude sur la Parole (JEP'2010), May 2010, Mons, Belgique |
Classification du genre vidéo reposant sur des transcriptions automatiquesTALN 2010, Jul 2010, Montreal, Canada |
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Transcription-based video genre classificationIEEE International Conference on Acoustics, Speech and Signal Processing , Mar 2010, Dallas, United States. ⟨10.1109/ICASSP.2010.5495042⟩ |
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A Language-identification inspired method for spontaneous speech detectionINTERSPEECH, Sep 2010, Makuhari, Japan |
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On-the-fly video genre classification by combination of audio featuresIEEE International Conference on Acoustics, Speech and Signal Processing , Mar 2010, Dallas, United States. ⟨10.1109/ICASSP.2010.5496233⟩ |
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Décodage guidé par un modèle cache sémantiqueJEP 2010 XXVIIIèmes Journées d 'Etude Sur la Parole, May 2010, Mons, Belgique |
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Improving back-off models with bag of words and hollow-gramsINTERSPEECH, Sep 2010, Makuhari, Japan |
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Semantic cache model driven speech recognitionIEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2010, Dallas, United States. ⟨10.1109/ICASSP.2010.5495642⟩ |
Modèles de langage probabilistes et possibilistes basés sur le WebJEP, May 2010, Mons, Belgique |
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Using the World Wide Web for Learning New Words in Continuous Speech Recognition Tasks: Two Case StudiesSPECOM'2009, Jun 2009, St Petersbourg, Russia |
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Probabilistic and Possibilistic Language Models Based on the World Wide WebINTERSPEECH, Sep 2009, Brighton, United Kingdom |
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Factor Analysis for Audio-based Video Genre ClassificationINTERSPEECH, Sep 2009, Brighton, United Kingdom |
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Spontaneous Speech Characterization and Detection in Large Audio Database13-th International Conference on Speech and Computer (SPECOM 2009), 2009, St Petersburg, Russia |
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Détection de mots hors-vocabulaire par combinaison de mesures de confiance de haut et bas niveauxMajecSTIC 2009 , Nov 2009, Avignon, France |
Robust Audio-based Classification of Video GenreINTERSPEECH, Sep 2009, Brighton, United Kingdom |
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Identification Musicale à l'aide de Technologies VocalesMajecSTIC 2009, Nov 2009, Avignon, France |
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Combined low level and high level features for Out-Of-Vocabulary Word detectionInterspeech 2009, 2009, Brighton, United Kingdom |
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Generalized Driven Decoding for Speech Recognition System CombinationIEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2008, Las Vegas, United States |
Enrichissement dynamique du vocabulairè a partir du WebJEP, Jun 2008, Avignon, France |
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Adaptation rapide de modeles acoustiques compactsJEP, Jun 2008, Avignon, France |
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Caractérisation et détection de parole spontanée dans de larges collections de documents audioJEP, Jun 2008, Avignon, France |
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Using prompts to produce quality corpus for training automatic speech recognition systemsMELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference , May 2008, Ajaccio, France. ⟨10.1109/MELCON.2008.4618540⟩ |
Combinaison de differents jeux de paramètres acoustiques pour la reconnaissance automatique de la paroleJournées d'Études sur la Parole (JEP'08), 2008, Avignon, France |
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Frame-Based Acoustic Feature Integration for Speech UnderstandingIEEE International Conference on Acoustics, Speech and Signal Processing, 2008. ICASSP 2008., Mar 2008, Las Vegas, NV,, United States. pp.4997-5000, ⟨10.1109/ICASSP.2008.4518780⟩ |
On-demand new word learning using world wide webIEEE International Conference on Acoustics, Speech and Signal Processing , Mar 2008, Las Vegas, United States. ⟨10.1109/ICASSP.2008.4518607⟩ |
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On-the-fly term spotting by phonetic filtering and request-driven decodingIEEE Spoken Language Technology Workshop (SLT), Dec 2008, Goa, India. ⟨10.1109/SLT.2008.4777901⟩ |
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Combinaison de systèmes par décodage guidéJEP / TALN / RECITAL 2008, Jun 2008, Avignon, France |
Local methods for on-demand out-of-vocabulary word retrievalLREC, May 2008, Marrakech, Morocco |
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Combinaison de différents jeux de param etres acoustiques pour la reconnaissance de la paroleLes Journées d’Etude sur la Parole (JEP), Jun 2008, Avignon, France |
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Fast Discriminant Training of Semi-continuous HMMText Speech and Dialogue, Sep 2007, Pilsen, Czech Republic |
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System Combination by Driven Decoding32nd International Conference on Acoustics, Speech and Signal Processing - ICASSP 2007, IEEE, Apr 2007, Honolulu, United States. pp.IV-341--IV-344, ⟨10.1109/ICASSP.2007.366919⟩ |
Fast adaptation of GMM-based compact modelsINTERSPEECH, Aug 2007, Anvers, Belgium |
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The LIA Speech Recognition System: From 10xRT to 1xRT10th International Conference, TSD, Sep 2007, Pilsen, Czech Republic |
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A SCALABLE SYSTEM FOR EMBEDDED LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION15th International Conference on Digital Signal Processing (DSP), Jul 2007, Cardiff, United Kingdom |
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Embedded Mobile Phone Digit-Recognition8th International Symposium on DSP and Communication Systems,DSPCS'2005 & 4th Workshop on the Internet, Telecommunications and Signal Processing, WITSP'2005, Dec 2005, Noosa Heads, Australia. ⟨10.1007/978-0-387-45976-9_7⟩ |
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Text island spotting in large speech databasesINTERSPEECH, Aug 2007, Anvers, Belgium |
GMM-BASED ACOUSTIC MODELING FOR EMBEDDED SPEECH RECOGNITIONINTERSPEECH, Sep 2006, Pittsburgh, United States |
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Reconnaissance de la parole guidée par des transcriptions approchéesJournées d'Etudes sur la Parole (JEP), Jun 2006, Dinard, France |
Représentation acoustique compacte pour un système de reconnaissance de la parole embarquéeJEP, Jun 2006, Dinard, France |
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Imperfect transcript driven speech recognitionINTERSPEECH, Sep 2006, Pittsburgh, United States |
Scalable Language Model Look-Ahead for LVCSRINTERSPEECH, Sep 2005, Lisbonne, Portugal |
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Le système de transcription du LIA pour ESTER-2005ESTER 2005, Mar 2005, Avignon, France |
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Model breaking detection using independent component classifier7th International Conference Lausanne, Oct 1997, Lausanne, Switzerland. ⟨10.1007/BFb0020213⟩ |
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Reducing computational and memory cost for cellular phone embedded speech recognition systemIEEE International Conference on Acoustics, Speech, and Signal Processing. (ICASSP '04)., May 2004, Montreal, Canada. ⟨10.1109/ICASSP.2004.1327109⟩ |
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Segmentation en macro-classes acoustiques d'émissions radiophoniques dans le cadre d'ESTERJournée d'Etudes sur la Parole, JEP 04, Avril 2004, Apr 2004, Fès, Maroc |
Structural speaker adaptation using maximum a posteriori approach and a Gaussian distributions merging techniqueIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Apr 2003, Hong-Kong, China. ⟨10.1109/ICASSP.2003.1202309⟩ |
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NONLINEAR GSM ECHO CANCELLATION : APPLICATION TO SPEECH RECOGNITIONITRW on Non-Linear Speech Processing (NOLISP 03), May 2003, Le Croisic, France |
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Spécialisation automatique de modèles acoustiquesJEP, Jun 2002, Nancy, France |
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Principes et performances du décodeur parole continue SpeeralJEP, Jun 2002, Nancy, France |
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Phoneme Lattice Based A* Search Algorithm for Speech RecognitionTSD 5th International Conference, Sep 2002, Brno, Czech Republic. ⟨10.1007/3-540-46154-X_41⟩ |
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A Posteriori and a Priori Transformations for Speaker Adaptation in Large Vocabulary Speech Recognition SystemsEUROSPEECH 2001 Scandinavia, 7th European Conference on Speech Communication and Technology, 2nd INTERSPEECH Event, Sep 2001, Aalborg, Denmark |
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MIXED ACOUSTIC EVENTS CLASSIFICATION USING ICA AND SUBSPACE CLASSIFIERIEEE International Conference on Acoustics, Speech, and Signal ICASSP-97, Apr 1997, Munich, Germany |
An Author-Topic based Approach to Cluster Tweets and Mine their LocationSpatial Statistics 2015, Jun 2015, Avignon, France. |
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Improving Back-off Models with Bag of Words and Hollow-gramsInterspeech, 2010, Makuhari, Japan |
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Combined low level and high level features for Out-Of- Vocabulary Word detectionInterspeech, 2009, Brighton, United Kingdom |
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GENERALIZED DRIVEN DECODING FOR SPEECH RECOGNITION SYSTEM COMBINATIONICASSP, 2008, Las Vegas, United States |
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Text island spotting in large speech databasesInterspeech, 2007, Anvers, Belgium |
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Imperfect transcript driven speech recognitionInterspeech, 2006, Pittsburgh, United States |
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Reconnaissance de la parole guidée par des transcriptions approchéesJEP, 2006, Dinard, France |
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Extraction and Analysis of Dynamic Conversational Networks from TV SeriesMehmet Kaya; Jalal Kawash; Suheil Khoury; Min-Yuh Day. Social Network Based Big Data Analysis and Applications, Springer, pp.55-84, 2018, Lecture Notes in Social Networks, 978-3-319-78195-2. ⟨10.1007/978-3-319-78196-9_3⟩ |
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Temporal and Lexical Context of Diachronic Text Documents for Automatic Out-Of-Vocabulary Proper Name RetrievalZygmunt Vetulani; Hans Uszkoreit; Marek Kubis Human Language Technology. Challenges for Computer Science and Linguistics, 9561, Springer, pp.41-54, 2016, Lecture Notes in Computer Science, 978-3-319-43808-5. ⟨10.1007/978-3-319-43808-5_4⟩ |
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Amélioration des modèles de repli par des sacs de mots et des n-grammes à variables[Rapport de recherche] LIG. 2016 |
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Phone duration models for fast broadcast news transcriptions[Research Report] UAPV. 2006 |