1. Improving Lightly Supervised Training for Broadcast Transcription,
   Y. Long, M. J. F. Gales, P. Lanchantin, X. Liu, M. S. Seigel, P. C. Woodland
   Proc. Interspeech, Lyon, France, 2013.

1. Automatic Transcription of Multi-genre Media Archives,\\

Speech, Language and Audio in Multimedia Workshop (SLAM), Marseille, France, 2013.

1. Automatic Transcription of Multi-genre Media Archives,
   P. Lanchantin, P. J. Bell, M. J. F. Gales, T. Hain, X. Liu, Y. Long, J. Quinnell, S. Renals, O. Saz, M. S. Seigel, P. Swietojanski, P. C. Woodland
   first Workshop on Speech, Language and Audio in Multimedia (SLAM), Marseille, France, 2013.

Book Chapter (in French)

1. Transformation et Synthèse de la Voix Parlée et de la Voix Chantée,
   X. Rodet, G. Beller, N. Bogaards, G. Degottex, S. Farner, P. Lanchantin, N.Obin, A. Roebel, C. Veaux and F. Villavicencio, Parole et Musique : Aux Origines du Dialogue Humain, Odile Jacob, Paris, 2009

Refereed Journal Publications (in French)

1. IrcamCorpusTools : Plateforme Pour Les Corpus de Parole,
   G.Beller, C. Veaux, G.Degottex, N. Obin, P. Lanchantin and X.Rodet,
   Traitement Automatique des Langues, Vol. 49, No.3, 2008.
2. Chaînes et arbres de Markov évidentiels avec applications à la segmentation des processus non stationnaires,
   P. Lanchantin and W. Pieczynski,
   Traitement du Signal, Vol. 22, No. 2, 2005.

Conference Proceedings (in French)

X. Rodet, G. Beller, N. Bogaards, G. Degottex, S. Farner, P. Lanchantin, N.Obin, A. Roebel, C. Veaux and F. Villavicencio, Parole et Musique : Aux Origines du Dialogue Humain, Odile Jacob, Paris, 2009

X. Rodet, G. Beller, N. Bogaards, G. Degottex, S. Farner, P. Lanchantin, N.Obin, A. Roebel, C. Veaux and F. Villavicencio, Parole et Musique : Aux Origines du Dialogue Humain, Odile Jacob, Paris, 2009

1. Transformation et Synthèse de la Voix Parlée et de la Voix Chantée,\\

Book Chapter

1. http://articles.ircam.fr/textes/Rodet09b/index.pdf?,
   X. Rodet, G. Beller, N. Bogaards, G. Degottex, S. Farner, P. Lanchantin, N.Obin, A. Roebel, C. Veaux and F. Villavicencio, Parole et Musique : Aux Origines du Dialogue Humain, Odile Jacob, Paris, 2009

1. Mixed source model and its adapted vocal-tract filter estimate for voice transformation and synthesis,\\

1. Mixed source model and its adapted vocal-tract filter estimate for voice transformation and synthesis,\\

Proc. of the First International Workshop on Performative Speech and Singing Synthesis, Vancouver, Canada, March 2011.

7th Speech Synthesis Workshop (SSW7), Kyoto, Japan, 2010.

ICASSP 2011, Prague, Czech Republic, 2011.

ICASSP 2011, Prague, Czech Republic, May 2011

1. Transcription of multi-genre media archives using out-of-domain data,\\

1. Making Sense of Variations: introducing Alternatives in Speech Synthesis,\\

1. Vivos Voco: A Survey Of Recent Research On Voice Transformations At Ircam,\\

1. A Short Review of Research on Voice Transformations at IRCAM,\\

1. Reformulating Prosodic Break Model into Segmental HMMs and Information Fusion,\\

1. Discrete/Continuous Modelling of Speaking Style in HMM-based Speech Synthesis: Design and Evaluation,\\

P. J. Bell, M. J. F. Gales, P. Lanchantin, X. Liu, Y. Long, S. Renals, P. Swietojanski, P. C. Woodland\\

1. Vivos Voco: A Survey Of Recent Research On Voice Transformations At Ircam,
   P. Lanchantin, S. Farner, C. Veaux, G. Degottex, N. Obin, G. Beller, F. Villavicencio, S. Huber, G. Peeters, A. Roebel, X. Rodet,
   14th International Conference on Digital Audio Effects DAFx-11, Paris, 2011.
2. A short review of research on voice transformations at IRCAM,
   P. Lanchantin, S Farner, C Veaux, G Degottex, A Roebel, X Rodet,
   Proc. of the First International Workshop on Performative Speech and Singing Synthesis, Vancouver, 2011.

P. J. Bell, M. J. F. Gales, P. Lanchantin, X. Liu, Y. Long, S. Renals, P. Swietojanski, P. C. Woodland\\

1. Transcription of multi-genre media archives using out-of-domain data,
   P. J. Bell, M. J. F. Gales, P. Lanchantin, X. Liu, Y. Long, S. Renals, P. Swietojanski, P. C. Woodland

Spoken Language Technology Workshop (SLT), Miami Beach, Florida, 2012.

1. Mixed source model and its adapted vocal-tract filter estimate for voice transformation and synthesis,\\

G. Degottex, P. Lanchantin, A. Roebel and X. Rodet, Speech Communication, Vol. 55, No. 2, pp. 278-294, February 2013.

G. Degottex, P. Lanchantin, A. Roebel and X. Rodet Speech Communication, Vol. 55, No. 2, pp. 278-294, February 2013.

1. Mixed source model and its adapted vocal-tract filter estimate for voice transformation and synthesis,
   

1. Making Sense of Variations: introducing Alternatives in Speech Synthesis,
   N. Obin, C. Veaux and P. Lanchantin
   Speech Prosody, Shanghai, China, 2012.

Interspeech 2011, Florence, Italy, 2011.

Interspeech 2011, Florence, Italy, 2011.

pouet

P. Lanchantin and N. Obin,
submitted to ICASSP 2012, Kyoto, Japan, 2012.

//http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/Interspeech2011.pdf

%http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/Interspeech2011.pdf

1. Extended Conditional GMM and Covariance Matrix Correction for Real-Time Spectral Voice Conversion,
   P. Lanchantinand N. Obin,
   submitted to Icassp 2012, Kyoto, Japan, 2012.
2. Reformulating Prosodic Break Model into Segmental HMMs and Information Fusion,
   N. Obin, P. Lanchantin, A. Lacheret-Dujour and X. Rodet,\\

1. Discrete/Continuous Modelling of Speaking Style in HMM-based Speech Synthesis: Design and Evaluation,\\

rapport interne Ircam, 2007

1. Angelstudio : conversion de locuteur,
   P. Lanchantin,
   rapport interne Ircam, 2011

Interstice, mai 2011

1. Transformation de la voix humaine,
   Catherine Ferrieux,
   '' Interstice', mai 2011

P. Lanchantin and W. Pieczynski,\\

1. Joint Prosodic and Segmental Unit Selection for Expressive Speech Synthesis,
   C. Veaux, P. Lanchantin and X. Rodet,
   7th Speech Synthesis Workshop (SSW7), Kyoto, Japan, 2010

Conference Proceedings

in French

1. Transformation et Synthèse de la voix parlée et de la voix chantée,
   X. Rodet, G. Beller, N. Bogaards, G. Degottex, S. Farner, P. Lanchantin, N. Obin, A. Roebel, C. Veaux, F. Villavicencio,
   Actes du Colloque de Rentrée du Collège de France, Octobre 2008.
2. Segmentation d'Images Multispectrales par Arbre de Markov caché Flou,
   P. Lanchantin, F. Salzenstein,
   Actes du Colloque GRETSI'05, 6-9 septembre, Louvain-la-Neuve, Belgique, 2005.
3. Arbres de Markov Triplet et théorie de l'évidence,
   P. Lanchantin et W. Pieczynski,
   Actes du Colloque GRETSI'03, 8-11 septembre, Paris, France, 2003.

in French

in French

1. IrcamCorpusTools : Plateforme Pour Les Corpus de Parole,
   G.Beller, C. Veaux, G.Degottex, N. Obin, P. Lanchantin and X.Rodet,
   Traitement Automatique des Langues, Vol. 49, No.3, 2008.

Refereed Journal Publications

in French

1. A short review on voice transformations at IRCAM,
   P. Lanchantin, S. Farner, C. Veaux, G. Degottex, A. Roebel, X. Rodet,
   Proc. of the First International Workshop on Performative Speech and Singing Synthesis, Vancouver, Canada, March 2011

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,\\

G.Beller, C. Veaux, G.Degottex, N. Obin, P. Lanchantin and X.Rodet,\\

P. Lanchantin and W. Pieczynski,\\

P. Lanchantin et W. Pieczynski,\\

P. Lanchantin, N. Obin and X. Rodet,\\

N. Obin, P. Lanchantin, A. Lacheret-Dujour and X. Rodet,\\

N. Obin, P. Lanchantin, A. Lacheret-Dujour and X. Rodet,\\

P. Lanchantin and X. Rodet,\\

P. Lanchantin and X. Rodet,\\

N. Obin, P. Lanchantin, M. Avanzi, A. Lacheret-Dujour and X. Rodet,\\

P. Lanchantin, G. Degottex and X. Rodet,\\

P. Lanchantin, A. C. Morris X. Rodet and C. Veaux,\\

P. Lanchantin, F. Salzenstein,\\

W. Pieczynski, P. Lanchantin,\\

P. Lanchantin and W. Pieczynski,\\

P. Lanchantin et W. Pieczynski,\\

W. Pieczynski, D. Benboudjema and P. Lanchantin,\\

C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas,\\

P. Lanchantin,\\

C. Veaux, P. Lanchantin, N. Obin, J.Bloit,\\

G. Beller, J. Bloit, G., Degottex, S. Farner, P. Lanchantin, N. Obin, A. Roebel, C. Veaux, F. Villavicencio, X. Rodet,\\

P. Lanchantin, A.C.Morris, X.Rodet,\\

J. Bloit, P. Lanchantin, X.Rodet,\\

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Signal Processing, Vol. 91, No. 2, pp. 163-175, February 2011.

1. Extended Conditional GMM and Covariance Matrix Correction for Real-Time Spectral Voice Conversion,
   P. Lanchantin, N. Obin and X. Rodet,
   submitted to Interspeech 2011, Florence, Italy, 2011.
2. Reformulating Prosodic Break Model into Segmental HMMs and Information Fusion,\\

submitted to Interspeech 2011, Florence, Italy, 2011.

1. Discrete/Continuous Modelling of Speaking Style in HMM-based Speech Synthesis: Design and Evaluation,
   N. Obin, P. Lanchantin, A. Lacheret-Dujour and X. Rodet,
   submitted to Interspeech 2011, Florence, Italy, 2011.
2. Objective Evaluation of the Dynamic Model Selection for Spectral Voice Conversion,\\

ICASSP 2011, Prague, Czech Republic, May 2011, Accepted

1. Dynamic Model Selection for Spectral Voice Conversion,
   P. Lanchantin and X. Rodet,\\

Phd Thesis

"Unsupervised Signal Segmentation using Triplet Markov chains"

Chaînes de Markov triplets et segmentation non supervisée des signaux

http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/nazca02a.jpg Defended on december 5th 2006 In front of the jury composed of:

Thesis from Institut National des Télécommunications funded by the French Ministry of Research and Education.

Mention : très honorable.

Keys Words: Bayesian estimation, Hidden Markov Models (chains and trees), Pairwise and Triplet Markov Chains, Bayesian Networks, Segmentation of Multiresolution and multivariates images, Expectation Maximisation, Iterative Conditional Estimation, Data Fusion, Evidence theory, Fuzzy set, non stationary processes, Gaussian processes, long memory process.

Defended on december 5th 2006 In front of the jury composed of:

1. Unsupervised segmentation of Triplet Markov chains hidden with long memory noise,\\

1. Unsupervised segmentation of Triplet pairwise Markov chains hidden with long memory noise,\\

1. Automatic Phoneme Segmentation With Relaxed Textual Constraints,\\

1. Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise,
   P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Signal Processing, Vol. 91, No. 2, pp. 163-175, February 2011.
2. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,
   P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,\\

1. Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise,\\P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Signal Processing, Vol. 91, No. 2, pp. 163-175, February 2011.

1. Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise,\\P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,\\, Signal Processing, Vol. 91, No. 2, pp. 163-175, February 2011.
2. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,\\P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,\\

ICASSP 2011, Prague, Czech Republic, May 2011, Submitted

ICASSP 2011, Prague, Czech Republic, May 2011, Submitted

1. Objective Evaluation of the Dynamic Model Selection for Spectral Voice Conversion,\\

Icassp 2011, Prague, Czech Republic, May 2011, Submitted''

1. Speaking Style Modeling of Various Discourse Genres in HMM-Based Speech Synthesis,
   N. Obin, P. Lanchantin, A. Lacheret-Dujour and X. Rodet,
   Icassp 2011, Prague, Czech Republic, May 2011, Submitted''

1. Objective Evaluation of the Dynamic Model Selection for Spectral Voice Conversion,\\

''Icassp 2011, Prague, Czech Republic, May 2011.

1. Dynamic Model Selection for Spectral Voice Conversion,
   P. Lanchantin and X. Rodet,
   ''Interspeech 2010 Proceedings, Makuhari, Japan, Sept 2010.

''Interspeech 2010 Proceedings, Makuhari, Japan, 2010.

Speech Prosody 2010 Proceedings, Chicago, USA, 2010.

ICASSP2010 Proceedings, Dallas, USA, 2010.

1. Dynamic Model Selection for Spectral Voice Conversion,\\

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,\\, Signal Processing, Vol. 91, No. 2, pp. 163-175, February 2011.

 2010

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,\\

1. Dynamic Model Selection for Spectral Voice Conversion,
   P. Lanchantin and X. Rodet,
   Interspeech 2010, Makuhari, Japan, 2010 accepted.

Speech Prosody 2010, Chicago, USA, 2010, accepted.

ICASSP2010 Proceedings, Dallas, USA, 2010, accepted.

LREC'08 Proceedings, Marrakech, Marocco, 2008.

1. Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise,\\

1. Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise,\\

1. [[http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/A3.pdf |Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise],\\

1. [[http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/A4.pdf |Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise],\\

Signal Processing, 2010, to appear.

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,
   P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,\\

Speech Prosody 2010, Chicago 2010, accepted.

1. IrcamCorpusTools : Plateforme Pour Les Corpus de Parole,\\

1. IrcamCorpusTools : Plateforme Pour Les Corpus de Parole,
   G.Beller, C. Veaux, G.Degottex, N. Obin, P. Lanchantin et X.Rodet,
   Traitement Automatique des Langues, Vol. 49, No.3, 2008.

1. Chercheur à l'Ircam : sur la bonne voix,\\

Keyboards Recording, août 2009.

Press

1. Chercheur à l'Ircam, sur la bonne voix,
   Michèle Davène,
   Keyboards Recoring, août 2009.

1. Toward Improved HMM-Based Speech Synthesis Using High-Level Syntactical Features,
   N. Obin, P. Lanchantin, M. Avanzi, A. Lacheret-Dujour and X. Rodet,
   submitted to Speech Prosody 2010.

ICASSP2010 Proceedings, Dallas 2010, accepted.

1. A HMM-Based Synthesis System Using a New Glottal Source and Vocal-Tract Separation Method,
   P. Lanchantin, G. Degottex and X. Rodet,
   ICASSP2010 Proceedings, Dallas march 2008, accepted.

Traitement Automatique des Langues, To Appear.

1. IrcamCorpusTools : Plateforme Pour Les Corpus de Parole,
   G.Beller, C. Veaux, G.Degottex, N. Obin, P. Lanchantin et X.Rodet,
   Traitement Automatique des Lagnuesdu Signal, to appear.

1. Travaux actuels de l'Ircam autour de la voix
   G. Beller, J. Bloit, G., Degottex, S. Farner, P. Lanchantin, N. Obin, A. Roebel, C. Veaux, F. Villavicencio, X. Rodet,
   ILPGA, Paris, 4 avril 2008.

http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/nazca02a.jpg

http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/nazca02a.jpg

  http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/nazca02a.jpg

1. Décodage dans un flux : reconnaissance et alignement de parole,
   J. Bloit, P. Lanchantin, X.Rodet,\\

1. Décodage dans un flux : reconnaissance et alignement de parole,

J. Bloit, P. Lanchantin, X.Rodet,\\ IRCAM research and technology seminars, sep. 2007.

1. Modèles Triplets et Théorie de l'Evidence,\\

1. Exploitation d'enregistrements et de corpus de Parole,\\

1. ircamAlign : système d'étiquetage et d'alignement de signaux de parole\\

1. ircamAlign : système d'étiquetage et d'alignement de signaux de parole
   P. Lanchantin, A.C.Morris, X.Rodet,\\

Some of the publications below have appeared in an IEEE journal, Elsevier journal or conference record. By allowing you to download them, I am required to post the following copyright reminder: "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

Phd Thesis

Journal Articles

Conferences

Internal Report

Talks

Journal Articles

Conferences

Internal Report

Talks

Phd Thesis

  http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/nazca02a.jpg

Defended on december 5th 2006 In front of the jury composed of:

IRCAM Journée prospective, dec. 2008.

1. ircamAlign : système de segmentation de signal de parole en phones,
   P. Lanchantin, J. Bloit, X.Rodet,\\

1. Exploitation d'enregistrements et de corpus de Parole,
   C. Veaux, P. Lanchantin, N. Obin, J.Bloit,
   IRCAM research and technology seminars, sep. 2007.

1. ircamAlign : Système d'étiquetage et d'alignement de signaux de parole,
   P. Lanchantin,\\

1. ircamAlign : Système d'étiquetage et d'alignement de signaux de parole,

Internal Report

ircamAlign : Système d'étiquetage et d'alignement de signaux de parole, P. Lanchantin, Université Pierre et Marie Curie, 2007

1. ircamAlign : système de segmentation de signal de parole en phones,
   P. Lanchantin, J. Bloit, X.Rodet,\\

1. Traitement statistique des images : principes de modélisation pour la segmentation,
   Journée portes ouvertes Recherche (JPOR 05) de l'INT : présentation des activités de recherche en traitements statistiques d'images du laboratoire CITI,
   23-24 mars 2005.

pour la segmentation,\\Journée portes ouvertes Recherche (JPOR 05) de l'INT : présentation des activités de recherche en traitements statistiques d'images du laboratoire CITI,\\23-24 mars 2005.

1. Décodage dans un flux : reconnaissance et alignement de parole,
   J. Bloit, P. Lanchantin, X.Rodet,
   IRCAM research and technology seminars, sep. 2007.
2. Modèles Triplets et Théorie de l'Evidence,
   Séminaire LSIIT\\

1. Traitement statistique des images : principes de modélisation

pour la segmentation,
Journée portes ouvertes Recherche (JPOR 05) de l'INT : présentation des activités de recherche en traitements statistiques d'images du laboratoire CITI,
23-24 mars 2005.

1. Segmentation non-supervisée de processus cachés non stationnaires par modèle de chaîne de Markov triplet,
   Séminaire CITI, Février 2005.

Some of the publications below have appeared in an IEEE journal, Elsevier journal or conference record. By allowing you to download them, I am required to post the following copyright reminder: "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

Some of the publications below have appeared in an IEEE journal, Elsevier journal or conference record. By allowing you to download them, I am required to post the following copyright reminder: "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

Some of the publications below have appeared in an IEEE journal, Elsevier journal or conference record. By allowing you to download them, I am required to post the following copyright reminder: "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

Some of the publications below have appeared in an IEEE journal, Elsevier journal or conference record. By allowing you to download them, I am required to post the following copyright reminder: "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

1. Arbres de Markov Triplet et théorie de l'évidence,
   P. Lanchantin et W. Pieczynski,
   Actes du Colloque GRETSI'03, 8-11 septembre, Paris, France, 2003.
2. Statistical image segmentation using Triplet Markov Fields,
   W. Pieczynski, D. Benboudjema and P. Lanchantin,
   SPIE's International Symposium on Remote Sensing, September 22-27, Crete, Greece, 2002.
3. Transferts d'énergie par couplage modal : étude d'un cas particulier,
   C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas,
   Actes du sixième congrès français d'Acoustique, Lille, Avril 2002.

1. Unsupervised non stationary image segmentation using triplet Markov chains,
   P. Lanchantin and W. Pieczynski,
   Advanced Concepts for Intelligent Vision Systems (ACIVS 04), Aug. 31-Sept. 3, Brussels, Belgium, 2004.

1. Segmentation d'Images Multispectrales par Arbre de Markov caché Flou,
   P. Lanchantin, F. Salzenstein,
   Actes du Colloque GRETSI'05, 6-9 septembre, Louvain-la-Neuve, Belgique, 2005.
2. Restoring hidden non stationary process using triplet partially Markov chain with long memory noise,
   W. Pieczynski, P. Lanchantin,
   IEEE Workshop on Statistical Signal Processing (SSP 05), July 17-20, Bordeaux, France, 2005.

1. Automatic Phoneme Segmentation With Relaxed Textual Constraints,\\

Automatic Phoneme Segmentation With Relaxed Textual Constraints,
P. Lanchantin, A. C. Morris X. Rodet and C. Veaux,
LREC'08 Proceedings, Marrakech 2008.

IEEE Trans. on Signal Processing, Vol. 53, No. 8, pp 3091-3098, 2005.

1. Chaînes et arbres de Markov évidentiels avec applications à la segmentation des processus non stationnaires,\\

Chaînes et arbres de Markov évidentiels avec applications à la segmentation des processus non stationnaires,
P. Lanchantin et W. Pieczynski,
Traitement du Signal, Vol. 22, No. 2, 2005.

IEEE Trans. on Signal Processing, Vol. 53, No. 8, pp 3091-3098,

1. Unsupervised restoration of hidden non stationary Markov chains using evidential priors,
   P. Lanchantin and W. Pieczynski,\\

Unsupervised restoration of hidden non stationary Markov chains using evidential priors,
P. Lanchantin and W. Pieczynski,\\ IEEE Transactions on Signal Processing, Vol. 53, No. 8, pp 3091-3098,

P. Lanchantin and W. Pieczynski, A2 Unsupervised restoration of hidden non stationary Markov chains using evidential priors, IEEE Transactions on Signal Processing , Vol. 53, No. 8, pp 3091-3098,

P. Lanchantin et W. Pieczynski, A1 Chaînes et arbres de Markov

P. Lanchantin, A. C. Morris X. Rodet and C. Veaux, C7

P. Lanchantin, F. Salzenstein, C6 Segmentation d'Images

W. Pieczynski, P. Lanchantin, C5 Restoring hidden non stationary

P. Lanchantin and W. Pieczynski, C4 Unsupervised non stationary

P. Lanchantin et W. Pieczynski,C3 Arbres de Markov Triplet et

W. Pieczynski, D. Benboudjema and P. Lanchantin,C2 Statistical

C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, C1 Transferts

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,\\

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,\\

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,\\

2. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,\\

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,\\

Unsupervised segmentation of pairwise Markov chains hidden with long memory noise,
P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,
Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise
   P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,\\

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

1. Unsupervised segmentation of pairwise Markov chains hidden with long memory noise

 P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,
 Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

Unsupervised segmentation of pairwise Markov chains hidden with long memory noise

1 -> Unsupervised segmentation of pairwise Markov chains hidden with long memory noise

Unsupervised segmentation of pairwise Markov chains hidden with long memory noise P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

[A2] P. Lanchantin and W. Pieczynski, A2 Unsupervised restoration of

[A1] P. Lanchantin et W. Pieczynski, A1 Chaînes et arbres de Markov

[C7] P. Lanchantin, A. C. Morris X. Rodet and C. Veaux, C7

[C6] P. Lanchantin, F. Salzenstein, C6 Segmentation d'Images

[C5] W. Pieczynski, P. Lanchantin, C5 Restoring hidden non stationary

[C4] P. Lanchantin and W. Pieczynski, C4 Unsupervised non stationary

[C3] P. Lanchantin et W. Pieczynski,C3 Arbres de Markov Triplet et

[C2] W. Pieczynski, D. Benboudjema and P. Lanchantin,C2 Statistical

[C1] C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, C1 Transferts

[A2] A2 P. Lanchantin and W. Pieczynski, Unsupervised restoration of

[A1] A1 P. Lanchantin et W. Pieczynski, Chaînes et arbres de Markov

[C7] C7 P. Lanchantin, A. C. Morris X. Rodet and C. Veaux,

[C6] C6 P. Lanchantin, F. Salzenstein, Segmentation d'Images

[C5] C5 W. Pieczynski, P. Lanchantin, Restoring hidden non stationary

[C4] C4 P. Lanchantin and W. Pieczynski, Unsupervised non stationary

[C3] C3 P. Lanchantin et W. Pieczynski, Arbres de Markov Triplet et

[C2] C2 W. Pieczynski, D. Benboudjema and P. Lanchantin, Statistical

[C1] C1 C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, Transferts

Chaînes de Markov triplets et segmentation non supervisée des signaux

Chaînes de Markov triplets et segmentation non supervisée des signaux

[A3] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

[A3] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

[A3] Unsupervised segmentation of pairwise Markov chains hidden with long memory noise P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

A3 Unsupervised segmentation of pairwise Markov chains hidden with long memory noise P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

Unsupervised segmentation of pairwise Markov chains hidden with long memory noise P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

A3 P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

A3 P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

[A3] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,[[http://recherche.ircam.fr/equipes/analyse-synthese/lanchant/uploads/Main/A3.pdf |Unsupervised segmentation of pairwise Markov chains hidden with long memory noise]], Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

A3 P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

[A3] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

A3 P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

A2 P. Lanchantin and W. Pieczynski, Unsupervised restoration of

A1 P. Lanchantin et W. Pieczynski, Chaînes et arbres de Markov

C7 P. Lanchantin, A. C. Morris X. Rodet and C. Veaux,

C6 P. Lanchantin, F. Salzenstein, Segmentation d'Images

C5 W. Pieczynski, P. Lanchantin, Restoring hidden non stationary

C4 P. Lanchantin and W. Pieczynski, Unsupervised non stationary

C3 P. Lanchantin et W. Pieczynski, Arbres de Markov Triplet et

C2 W. Pieczynski, D. Benboudjema and P. Lanchantin, Statistical

C1 C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, Transferts

phd.pdf

Phd Thesis

"Unsupervised Signal Segmentation using Triplet Markov chains"

phd.pdf

 !!Phd Thesis 

[1]

[1] P. Lanchantin, A. C. Morris X. Rodet and C. Veaux,

[1] P. Lanchantin, F. Salzenstein, Segmentation d'Images

[1] W. Pieczynski, P. Lanchantin, Restoring hidden non stationary

[1] P. Lanchantin and W. Pieczynski, Unsupervised non stationary

[1] P. Lanchantin et W. Pieczynski, Arbres de Markov Triplet et

[1] W. Pieczynski, D. Benboudjema and P. Lanchantin, Statistical

[1] C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, Transferts

[1] P. Lanchantin and W. Pieczynski, Unsupervised restoration of

[1] P. Lanchantin et W. Pieczynski, Chaînes et arbres de Markov

Attach:file.ext Δ [1] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

Attach:file.ext Δ P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

[1] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

[1] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

[1] P. Lanchantin and W. Pieczynski, Unsupervised restoration of

Attach:file.ext Δ P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

 !!Phd Thesis [1]

[1] !!Phd Thesis

Phd Thesis [1]

 "Unsupervised Signal Segmentation using Triplet Markov chains"

[1] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

 "Unsupervised Signal Segmentation using Triplet Markov chains" [1]

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.[1]

[1] "Unsupervised Signal Segmentation using Triplet Markov chains"

[1] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

[1] P. Lanchantin, A. C. Morris X. Rodet and C. Veaux,

[1] P. Lanchantin, F. Salzenstein, Segmentation d'Images

[1] W. Pieczynski, P. Lanchantin, Restoring hidden non stationary

[1] P. Lanchantin and W. Pieczynski, Unsupervised non stationary

[1] P. Lanchantin et W. Pieczynski, Arbres de Markov Triplet et

[1] W. Pieczynski, D. Benboudjema and P. Lanchantin, Statistical

[1] C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, Transferts

[1]

[1] P. Lanchantin and W. Pieczynski, Unsupervised restoration of

[1] P. Lanchantin et W. Pieczynski, Chaînes et arbres de Markov

[1]

"Unsupervised Signal Segmentation using Triplet Markov chains"

"Unsupervised Signal Segmentation using Triplet Markov chains"

'+'+"Unsupervised Signal Segmentation using Triplet Markov chains" +'+'

[++ "Unsupervised Signal Segmentation using Triplet Markov chains"++]

'++ "Unsupervised Signal Segmentation using Triplet Markov chains"++'

  http://anchante.net/images/nazca02a.jpg

   http://www.ourwildride.com/worldtrip/Peru%20Photos/Humming-bird-(web).jpg

Christophe Collet, ENSPS/ULP, Strasbourg Patrick Pérez, IRISA, Rennes Henri Maître', ENST, Paris Igor Nikiforov, UTT, Troyes Wojciech Pieczynski, INT, Evry Fabien Salzenstein, ULP, Strasbourg

   http://www.urwisko.pl/obrazki/nazca/nazca1.JPG

théorie de l'évidence, Actes du Colloque GRETSI'03, 8-11

P. Lanchantin et W. Pieczynski, Chaînes et arbres de Markov

stationnaires, Traitement du Signal, Vol. 22, No. 2, 2005.

Mention : très honorable.

Talks

"Unsupervised Signal Segmentation using Triplet Markov chains"

"Unsupervised Signals Segmentation using Triplet Markov chains"

Thesis from Institut National des Télécommunications funded by the French Ministry of Research and Education.

Keys Words: Bayesian estimation, Hidden Markov Models (chains and trees), Pairwise and Triplet Markov Chains, Bayesian Networks, Segmentation of Multiresolution and multivariates images, Expectation Maximisation, Iterative Conditional Estimation, Data Fusion, Evidence theory, Fuzzy set, non stationary processes, Gaussian processes, long memory process.

Mention : très honorable.

Unsupervised Signals Segmentation using Triplet Markov chains

Unsupervised Signals Segmentation using triplet Markov chains

Unsupervised Signals Segmentation using triplet Markov chains

Thesis from Institut National des Télécommunications funded by the French Ministry of Research and Education.

MENRT Thesis from Institut National des Télécommunications.

Keys Words: Bayesian estimation, Hidden Markov Models (chains and trees), Pairwise and Triplet Markov Chains, Bayesian Networks, Segmentation of Multiresolution and multivariates images, Expectation Maximisation, Iterative Conditional Estimation, Data Fusion, Evidence theory, Fuzzy set, non stationary processes, Gaussian processes, long memory process.

Defended on december 5th 2006 In front of the jury composed of:

de Signaux.

Chaînes de Markov triplets et Segmentation Non Supervisée de Signaux.

Chaînes de Markov triplets ''et Segmentation Non Supervisee de Signaux''.

Unsupervised Signals Segmentation using triplet Markov chains - Chaînes de Markov triplets et Segmentation Non Supervisee

Unsupservised Signals Segmentation using triplet Markov chains - Chaînes de Markov triplets et Segmentation Non Supervisee de Signaux.

''Chaines de Markov triplets et Segmentation Non Supervisee

de Signaux.''

Thèse MENRT de l'Institut National des Télécommunications et de

''Chaînes de Markov triplets et Segmentation Non Supervisée de Signaux. '' 'Thèse MENRT de l'Institut National des Télécommunications et de l'Université de Technologies de Troyes. Mot clés : Estimation bayésienne, modèles de Markov cachés (chaînes et arbres), modèles de Markov Couple et Triplet, réseaux bayésiens, segmentation d'images multirésolutions et multivariées, Expectation Maximisation, Estimation Itérative Conditionnelle, théorie des fonctions de croyances, théorie des ensembles flous, processus non-stationnaires, processus gaussiens, processus à corrélation longue.

Mention : très honorable.

Soutenue le 5 décembre 2006 devant le jury composé de :

P. Lanchantin, A. C. Morris X. Rodet and C. Veaux, Automatic Phoneme Segmentation With Relaxed Textual Constraints, LREC'08 Proceedings, Marrakech 2008.

Talks

J. Bloit, P. Lanchantin, X.Rodet, Décodage dans un flux : reconnaissance et alignement de parole, IRCAM research and technology seminars, sep. 2007.

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

P. Lanchantin and W. Pieczynski, Unsupervised restoration of

P. Lanchantin et W. Pieczynski, '''Chaînes et arbres de Markov

Multispectrales par Arbre de Markov caché Flou, ''Actes du Colloque GRETSI'05'', 6-9 septembre, Louvain-la-Neuve, Belgique, 2005.

noise, IEEE Workshop on Statistical Signal Processing (SSP 05),

image segmentation using triplet Markov chains, ''Advanced Concepts for Intelligent Vision Systems (ACIVS 04)'', Aug. 31-Sept. 3,

image segmentation using Triplet Markov Fields, ''SPIE's International Symposium on Remote Sensing'', September 22-27,

d'énergie par couplage modal : étude d'un cas particulier, ''Actes du sixième congrès français d'Acoustique'', Lille, Avril 2002.

• P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski,

• P. Lanchantin and W. Pieczynski, Unsupervised restoration of

• P. Lanchantin et W. Pieczynski, '''Chaînes et arbres de Markov

Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

P. Lanchantin and W. Pieczynski, Unsupervised restoration of hidden non stationary Markov chains using evidential priors, IEEE

P. Lanchantin, F. Salzenstein, Segmentation d'Images

W. Pieczynski, P. Lanchantin, Restoring hidden non stationary

P. Lanchantin and W. Pieczynski, Unsupervised non stationary

P. Lanchantin et W. Pieczynski, Arbres de Markov Triplet et

W. Pieczynski, D. Benboudjema and P. Lanchantin, Statistical

C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, Transferts

'''unsupervised segmentation of pairwise Markov chains hidden with

'''Unsupervised segmentation of pairwise Markov chains hidden with long memory noise', Signal Processing'', No. 88, Vol. 5, pp 1134-1151, May 2008.

P. Lanchantin and W. Pieczynski, '''Unsupervised restoration of hidden non stationary Markov chains using evidential priors', IEEE''

P. Lanchantin et W. Pieczynski, '''Chaînes et arbres de Markov

stationnaires', Traitement du Signal'', Vol. 22, No. 2, 2005.

hidden non stationary Markov chains using evidential priors, IEEE

hidden non stationary Markov chains using evidential priors, IEEE Transactions on Signal Processing , Vol. 53, No. 8, pp 3091-3098,

Transactions on Signal Processing'' , Vol. 53, No. 8, pp 3091-3098,

P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

P. Lanchantin and W. Pieczynski, Unsupervised restoration of hidden non stationary Markov chains using evidential priors, ''IEEE Transactions on Signal Processing'', Vol. 53, No. 8, pp 3091-3098,

P. Lanchantin et W. Pieczynski, Chaînes et arbres de Markov

stationnaires, Traitement du Signal, Vol. 22, No. 2, 2005.

Phd Thesis

Journal Articles

[1] P. Lanchantin and W. Pieczynski, Unsupervised restoration of hidden non stationary Markov chains using evidential priors, IEEE Transactions on Signal Processing, Vol. 53, No. 8, pp 3091-3098, 2005.

[2] P. Lanchantin et W. Pieczynski, Chaînes et arbres de Markov évidentiels avec applications à la segmentation des processus non stationnaires, Traitement du Signal, Vol. 22, No. 2, 2005.

[3] P. Lanchantin, J. Lapuyade-Lahorgue and W. Pieczynski, Unsupervised segmentation of pairwise Markov chains hidden with long memory noise, Signal Processing, No. 88, Vol. 5, pp 1134-1151, May 2008.

Conferences

[4] P. Lanchantin and W. Pieczynski, Unsupervised segmentation of non stationary Markov chains, soumis à IEEE transactions on Information Theory, septembre 2006.

[5] P. Lanchantin, F. Salzenstein, Segmentation d'Images Multispectrales par Arbre de Markov caché Flou, Actes du Colloque GRETSI'05, 6-9 septembre, Louvain-la-Neuve, Belgique, 2005.

[6] W. Pieczynski, P. Lanchantin, Restoring hidden non stationary process using triplet partially Markov chain with long memory noise, IEEE Workshop on Statistical Signal Processing (SSP 05), July 17-20, Bordeaux, France, 2005.

[7] P. Lanchantin and W. Pieczynski, Unsupervised non stationary image segmentation using triplet Markov chains, Advanced Concepts for Intelligent Vision Systems (ACIVS 04), Aug. 31-Sept. 3, Brussels, Belgium, 2004.

[8] P. Lanchantin et W. Pieczynski, Arbres de Markov Triplet et théorie de l'évidence, Actes du Colloque GRETSI'03, 8-11 septembre, Paris, France, 2003.

[9] W. Pieczynski, D. Benboudjema and P. Lanchantin, Statistical image segmentation using Triplet Markov Fields, SPIE's International Symposium on Remote Sensing, September 22-27, Crete, Greece, 2002.

[10] C.Touzé, P. Lanchantin, A. Chaigne et O. Thomas, Transferts d'énergie par couplage modal : étude d'un cas particulier, Actes du sixième congrès français d'Acoustique, Lille, Avril 2002.

- Modèles Triplets et Théorie de l'Evidence, Séminaire LSIIT (ENSPS, Strasbourg), mai 2006.

- Traitement statistique des images : principes de modélisation pour la segmentation, Journée portes ouvertes Recherche (JPOR 05) de l'INT : présentation des activités de recherche en traitements statistiques d'images du laboratoire CITI, 23-24 mars 2005.

- Segmentation non-supervisée de processus cachés non stationnaires par modèle de chaîne de Markov triplet, Séminaire CITI, Février 2005.

publications