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IDIAP Research Institute1920 Martigny − Switzerland

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Tel: +41 27 721 77 11 Email: info@idiap.chP.O. Box 592Fax: +41 27 721 77 12

A tivity Report 2005Stripped version for internal useIDIAP�Com 2006-01Mar h 2006

IDIAP Resear h Institute

FOREWORDThis do ument is a subset of the usual IDIAP annual a tivity report for internal usage. It on-tains the se tions about the IDIAP sta�, edu ational and s ienti� a tivities, and the publi ationlist.The full, publi annual a tivity report is also available from the IDIAP web site, www.idiap. h.

Contents1 Sta� 11.1 S ienti� Sta� . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 Students . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 Visitors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 System and Development Sta� . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.5 Administrative Sta� . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Edu ational A tivities 62.1 Current PhD Theses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 IDIAP PhD Defenses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 Parti ipation in PhD Thesis Committees . . . . . . . . . . . . . . . . . . . . . . . . . . 82.4 Courses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.5 Short term student proje ts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.6 Other student proje ts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 S ienti� A tivities 113.1 Editorship . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.2 S ienti� and Te hni al Committees . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.3 S ienti� Presentations (other than onferen es) . . . . . . . . . . . . . . . . . . . . . 134 Publi ations (2004 and 2005) 174.1 Arti les in International Journals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.2 Arti les in Conferen e Pro eedings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.3 IDIAP Resear h Reports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.4 IDIAP Communi ations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.5 Other Do uments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

IDIAP�Com 2006-01 11 Sta�General onta t information:Mail: Institut de Re her he IDIAPRue du Simplon 4, CP 592CH�1920 Martigny (VS)SwitzerlandPhone: +41 - 27 - 721 77 11Fax: +41 - 27 - 721 77 12Internet: http://www.idiap. h/1.1 S ienti� Sta�Mr Guillermo Aradilla Resear h AssistantGuillermo.Aradilla�idiap. h +41 27 721 77 52Mr Silèye Ba Resear h AssistantSileye.Ba�idiap. h +41 27 721 77 61Dr David Barber Senior Resear h S ientistDavid.Barber�idiap. h +41 27 721 77 16Mr Mar Barnard Resear h Assistant → 30.11.05Dr Samy Bengio Senior Resear h S ientistSamy.Bengio�idiap. h +41 27 721 77 39Mr Mohamed F. Benzeghiba Resear h Assistant → 31.03.05Mr Olivier Bornet Senior development engineerOlivier.Bornet�idiap. h +41 27 721 77 38Prof. Hervé Bourlard Dire torHerve.Bourlard.�idiap. h +41 27 721 77 20Ms Anna Buttfield Resear h AssistantAnna.Buttfield�idiap. h +41 27 721 77 43Dr Barbara Caputo Resear h S ientist 01.12.05 →Barbara.Caputo�idiap. h +41 27 721 77 37Mr Fabien Cardinaux Resear h Assistant → 31.12.05Ms Silvia Chiappa Resear h AssistantSilvia.Chiappa�idiap. h +41 27 721 77 30Mr Nabil Daddaoua Resear h Assistant → 31.08.05Mr Christos Dimitrakakis Resear h AssistantChristos.Dimitrakakis�idiap. h +41 27 721 77 40

2 IDIAP�Com 2006-01Dr John Dines Resear h S ientistJohn.Dines�idiap. h +41 27 721 77 60Mr Pierre Ferrez Resear h AssistantPierre.Ferrez�idiap. h +41 27 721 77 87Mr Mike Flynn Senior Resear herMike.Flynn�idiap. h +41 27 721 77 78Mr Petr Fousek Resear h Assistant → 31.10.05Dr Daniel Gati a-Perez Senior Resear h S ientistDaniel.Gati a-Perez�idiap. h +41 27 721 77 33Mr David Grangier Resear h AssistantDavid.Grangier�idiap. h +41 27 721 77 23Mr Frantisek Grezl Resear h Assistant → 31.08.05Mr Maël Guillemot Development engineerMael.Guillemot�idiap. h +41 27 721 77 64Mr Maganti Hari Krishna Resear h Assistant 01.10.05 →Maganti.Hari-Krishna�idiap. h +41 27 721 77 89Prof. Hynek Hermansky Senior Resear h S ientistHynek.Hermansky�idiap. h +41 27 721 77 73Mr Guillaume Heus h Resear h Assistant 01.03.05 →Guillaume.Heus h�idiap. h +41 27 721 77 46Ms Agnès Just Resear h AssistantAgnes.Just�idiap. h +41 27 721 77 68Mrs Mikaela Keller Resear h AssistantMikaela.Keller�idiap. h +41 27 721 77 75Mr Hamed Ketabdar Resear h AssistantHamed.Ketabdar�idiap. h +41 27 721 77 48Mr Guillaume Lathoud Resear h AssistantGuillaume.Lathoud�idiap. h +41 27 721 77 63Ms Eileen Lew Yi Lee Resear h Assistant 01.09.05 →Eileen.LewYiLee�idiap. h +41 27 721 77 59Mr Mathew Magimai Doss Resear h AssistantMathew�idiap. h +41 27 721 77 51Dr Sebastien Mar el Senior Resear h S ientistSebastien.Mar el�idiap. h +41 27 721 77 27Mrs Christine Mar el Development engineer → 31.12.05Mr Johnny Mariéthoz Development engineerJohnny.Mariethoz�idiap. h +41 27 721 77 44

IDIAP�Com 2006-01 3Mr Olivier Masson Development engineerOlivier.Masson�idiap. h +41 27 721 77 66Dr Iain M Cowan Senior Resear h S ientist → 30.04.05Mr Mi hael M Greevy Resear h AssistantMi hael.M Greevy�idiap. h +41 27 721 77 35Mr Bertrand Mesot Resear h AssistantBertrand.mesot�idiap. h +41 27 721 77 82Prof. José del R. Millán Senior Resear h S ientistJose.Millan�idiap. h +41 27 721 77 70Mr Hemant Misra Resear h AssistantHemant.Misra�idiap. h +41 27 721 77 57Mr Florent Monay Resear h AssistantFlorent.Monay�idiap. h +41 27 721 77 69Mr Darren Moore Development engineer → 31.01.05Dr Jean-Mar Odobez Senior Resear h S ientistJean-Mar .Odobez�idiap. h +41 27 721 77 26Mr Jean-François Paiement Resear h AssistantJean-Fran ois.Paiement�idiap. h +41 27 721 77 11Mr Artem Peregoudov Resear h Assistant 01.01.05 →Artem.Peregoudov�idiap. h +41 27 721 77 84Mr Mike Perrow Resear h AssistantMike.Perrow�idiap. h +41 27 721 77 36Mr Joel Praveen Pinto Resear h Assistant 01.09.05 →Joel.Pinto�idiap. h +41 27 721 77 56Mr Norman Poh Hoon Thian Resear h AssistantNorman.Poh�idiap. h +41 27 721 77 53Mr Alexei Pozdnoukhov Resear h AssistantAlexei.Pozdnoukhov�idiap. h +41 27 721 77 65Mr Pedro Quelhas Resear h AssistantPedro.Quelhas�idiap. h +41 27 721 77 74Mr Yann Rodriguez Resear h AssistantYann.Rodriguez�idiap. h +41 27 721 77 72Mr Kevin Smith Resear h AssistantKevin.Smith�idiap. h +41 27 721 77 67Dr Fabio Valente Resear h S ientist 01.10..05 →Fabio.Valente�idiap. h +41 27 721 77 90Dr Jithendra Vepa Resear h S ientistJithendra.Vepa�idiap. h +41 27 721 77 88

4 IDIAP�Com 2006-01Dr Alessandro Vin iarelli Resear h S ientistAlessandro.Vin iarelli�idiap. h +41 27 721 77 24Mr Nanne Wams Resear h Assistant → 31.01.05Dr Pierre Wellner Senior Resear h S ientistPierre.Wellner�idiap. h +41 27 721 77 62Mr Dong Zhang Resear h AssistantDong.Zhang�idiap. h +41 27 721 77 761.2 StudentsMr Cuong Huy To 01.03.04 → 31.01.05Mr Guillaume Heus h 01.09.04 → 28.02.05Mr Maganti Hari Krishna 01.10.04 → 30.09.05Mr Siew Yeung Wong 01.01.05 → 30.06.05Mr Jean-Yves Parfait 01.02.05 → 30.06.05Mr David Vandromme 01.02.05 → 30.06.05Mr Mikko Lethonen 01.03.05 → 31.08.05Mr Ti�any Sauquet 01.03.05 → 31.08.05Mr Dhiraj Joshi 01.07.05 → 30.09.05Mr Jonathan Rey 01.07.05 → 30.06.06Mr Coralie Hemptine 01.07.05 → 31.08.05Mr Gustavo De Almeida 01.07.05 → 30.09.05Mr Gerwin Van Dorn 01.09.05 → 31.03.06Mr Ferran Galan 01.09.05 → 28.02.06Mr O tavian Cheng 01.10.05 → 31.03.06Mr Jean Keomany 01.11.05 → 28.02.06Mr Xavier Perrin 01.11.05 → 28.02.061.3 VisitorsDr Robert Van Kommer Swiss om 01.12.05 → 31.03.06Dr Joseph Keshet Hebrew University of Jerusalem 11.10.05 → 02.11.05Dr Lu Berthouze AIST (Japan) 01.03.05 → 15.04.05Mr Friedri h Meyer AIST (Japan) 01.03.05 → 15.04.05Dr Yves Grandvalet Université de Te hnologie de Compiègne 01.02.05 → 30.04.05Dr Hélène Paugmam-Moisy Université Lumière Lyon 2 01.04.05 → 31.05.05

IDIAP�Com 2006-01 51.4 System and Development Sta�Mr Sébastien Bourban Development engineerSebastien.Bourban�idiap. h +41 27 721 77 58Mr Tristan Carron System administratorTristan.Carron�idiap. h +41 27 721 77 77Mr Norbert Crettol System administratorNorbert.Crettol�idiap. h +41 27 721 77 25Mr Bastien Crettol System administrator 01.05.05 →Bastien.Crettol�idiap. h +41 27 721 77 32Mr Frank Formaz System managerFrank.Formaz�idiap. h +41 27 721 77 28Mr Vin ent Spano WebmasterVin ent.Spano�idiap. h +41 27 721 77 421.5 Administrative Sta�Dr Jean-Albert Ferrez Deputy Dire torJean-Albert.Ferrez�idiap. h +41 27 721 77 19Mr Pierre Dal Pont Finan ial ManagerPierre.DalPont�idiap. h +41 27 721 77 45Ms Nan y-Lara Robyr Program ManagerNan y-Lara.Robyr�idiap. h +41 27 721 77 18Dr Frank Crittin Program ManagerFrank.Crittin�idiap. h +41 27 721 77 17Ms Céline Aymon Publi RelationsCeline.Aymon�idiap. h +41 27 721 77 15Mrs Sylvie Millius Se retarySylvie.Millius�idiap. h +41 27 721 77 21Mrs Nadine Rousseau Se retaryNadine.Rousseau�idiap. h +41 27 721 77 22Mrs Joanne S hulz (Moore) HR assistant → 31.01.05Mr Edward Lee Gregg Finan ial assistantEd.Gregg�idiap. h +41 27 721 77 54Mr Mi hel Salamin Fren h tea her

6 IDIAP�Com 2006-012 Edu ational A tivities2.1 Current PhD ThesesThe list of urrent IDIAP PhD students with their supervisors and key dates is given in the table onnext page.2.2 IDIAP PhD Defenses• Ph.D. andidate: Mohammed F. BenzeghibaSupervisor: Hervé BourlardExaminers: Prof. Ch. Wellekens, Prof. Th. Dutoit, Dr B. P�sterUniversity: EPFLDate: 08.04.05Title: On the use of onne tionist / generative models for joint spee h and speaker re ognition• Ph.D. andidate: Mathew Magimai DossSupervisor: Hervé BourlardExaminers: Prof. S. Renals, Prof. R. De MoriUniversity: EPFLDate: 08.07.05Title: Using Auxiliary Sour es of Knowledge for Automati Spee h Re ognition• Ph.D. andidate: Mar BarnardSupervisor: Jean-Mar OdobezExaminers: Prof. P. Bouthemy, Prof. G. RigollUniversity: EPFLDate: 24.11.05Title: Multimedia Event Modelling and Re ognition• Ph.D. andidate: Fabien CardinauxSupervisor: Sébastien Mar elExaminers: Prof. J. Kittler, Prof. T. Cootes, Prof. J.-Ph. ThiranUniversity: EPFLDate: 16.12.05Title: Fa e authenti ation based on lo al features and generative models

IDIAP�Com2006-017

PhD Students Expe ted At IDIAP PhD Status PhD Area IDIAP Thesis ThesisPhD sin e Supervisor(s) Dire torAradilla Zapata Guillermo 2008 01.04.04 2nd year SP J. Vepa Prof. H. Bourlard, EPFLBarnard Mar 2005 15.03.01 Completed VI,IR J.M. Odobez + S. Bengio Prof. H. Bourlard, EPFLBa Silèye 2006 01.10.02 4th year VI J.M. Odobez + S. Bengio Prof. H. Bourlard, EPFLBenzeghiba Mohammed F. 2005 01.08.00 Completed BA H. Bourlard Prof. H. Bourlard, EPFLButt�eld Anna 2008 01.09.04 2nd year MI J. Millan Prof. J. Millan, EPFLCardinaux Fabien 2005 01.10.01 Completed VI,BA S. Mar el Prof. J.-Ph. Thiran, EPFLChiappa Silvia 2006 01.11.01 4th year ML,MI D. Barber Prof. H. Bourlard, EPFLDimitrakakis Christos 2006 01.10.01 4th year ML S. Bengio Prof. H. Bourlard, EPFLFerrez Pierre 2008 01.02.04 2nd year MI J. Millan Prof. J. Millan, EPFLGrangier David 2007 01.10.03 3rd year IR S. Bengio Prof. H. Bourlard, EPFLHari Krishna Maganti 2009 01.10.05 1st year SP H. Bourlard Prof. H. Bourlard, EPFLHeus h Guillaume 2009 01.07.05 1st year VI S. Mar el Prof. H. Bourlard, EPFLJust Agnès 2006 01.10.02 4th year VI S. Mar el + S. Bengio Prof. H. Bourlard, EPFLKeller Mikaela 2006 01.12.02 4th year ML S. Bengio Prof. H. Bourlard, EPFLKetabdar Hamed 2008 01.09.04 2nd year SP H. Bourlard Not de ided yetLathoud Guillaume 2006 01.03.02 4th year SP H. Bourlard Prof. H. Bourlard, EPFLLew Yi Lee Eileen 2009 01.09.05 1st year MI J. Millan Prof. J. Millan, EPFLMagimai Doss Mathew 2005 25.10.99 Completed SP H. Bourlard Prof. H. Bourlard, EPFLM Greevy Mi hael 2006 15.01.03 4th year SP H. Bourlard Prof. Sridharan, QUTMesot Bertrand 2008 01.03.04 2nd year ML,SP D. Barber Prof. H. Bourlard, EPFLMisra Hemant 2006 24.07.01 4th year SP H. Bourlard Prof. H. Bourlard, EPFLMonay Florent 2006 01.08.02 4th year VI,IR D. Gati a-Perez + S. Bengio Prof. H. Bourlard, EPFLPaiement Jean-François 2007 01.01.04 3rd year ML S. Bengio Prof. H. Bourlard, EPFLPeregoudov Artem 2008 01.01.05 2nd year SP H. Bourlard Prof. H. Bourlard, EPFLPerrow Mike 2008 01.12.04 2nd year IR D. Barber Prof. H. Bourlard, EPFLPinto Joel 2009 01.09.05 1st year SP H. Hermansky Prof. H. Hermansky, EPFLPoh Hoon Thian Norman 2006 01.08.02 4th year BA S. Bengio Prof. H. Bourlard, EPFLPozdnoukhov Alexei 2006 01.01.03 4th year ML S. Bengio Prof. H. Bourlard, EPFLQuelhas Pedro 2006 01.11.02 4th year VI,IR J.M. Odobez + S. Bengio Prof. H. Bourlard, EPFLRodriguez Yann 2006 01.09.02 4th year VI,BA S. Mar el + S. Bengio Prof. H. Bourlard, EPFLSmith Kevin 2006 01.11.02 4th year VI D. Gati a-Perez + S. Bengio Prof. H. Bourlard, EPFLZhang Dong 2007 01.08.03 3rd year VI D. Gati a-Perez + S. Bengio Prof. H. Bourlard, EPFLML: Ma hine Learning; SP: Spee h Pro essing; VI: Computer Vision; BA: Biometri Authenti ation; IR: Information Retrieval; MI: Multimodal Intera tion

8 IDIAP�Com 2006-012.3 Parti ipation in PhD Thesis Committees• Ph.D. andidate: Xiang LiThesis Superviser: Prof. Ri hard M. SternUniversity: Carnegie Mellon UniversityDate: February 2005Title: Combination and Generation of Parallel Feature Streams for Improved Spee h Re ogni-tionCommitte Members Tsuhan Chen, Rita Sigh, Hynek Hermansky• HDR (�habilitation à diriger des re her hes�) andidate: Christophe AmbroiseThesis Superviser: Gerard GovaertUniversity: Universite Te hnologique de CompiègneDate: June 24, 2005Title: Modèles pour l'apprentissage statistique à partir de données omplexesCommitte Members Samy Bengio (IDIAP), Stéphane Canu (INSA, Rouen), Anne Guerin(IMAG, Fran e), Jean-Mi hel Jolion (INSA, Lyon), Gilles Celeux (INRIA, Fran e), GerardGovaert (Universite Te hnologique de Rouen)• Ph.D. andidate: Onno ZoeterThesis Superviser: Tom HeskesUniversity: Radboud University NijmegenDate: 6.10.2005Title: Monitoring non-linear and swit hing dynami al systemsCommitte Members: David Barber, Tom Heskes, Hilbert Kappen, Stan Gielen• Ph.D. andidate: Ni olas Moënne-Lo ozThesis Superviser: T. PunUniversity: Geneva UniversityDate: 12.12.2006Title: Dynami s of visual omponents for ontent-based video managementCommitte Members T. Pun, S. Mar hand-Maillet, C. S hmit, J-M. Odobez and P. Joly.• Ph.D. andidate: Serhiy KosinovThesis Superviser: Thierry PunUniversity: University of GenevaDate: De ember 12, 2005Title: Ma hine Learning Approa h to Semanti Augmentation of Multimedia Do uments forE� ient A ess and RetrievalCommitte Members Samy Bengio (IDIAP), Matthieu Cord (ENSEA, Fran e), Eri Bruno(University of Geneva), Stéphane Mar hand-Maillet (University of Geneva), Thierry Pun(University of Geneva)

IDIAP�Com 2006-01 92.4 Courses• Title: Spee h Pro essingLe turer: Prof. H BourlardS hool: EPFL, Undergraduate (2nd y le)• Title: Statisti al Pattern Re ognition with appli ations to ASRLe turer: Prof. H BourlardS hool: EPFL, I&C Do toral S hool• Title: Statisti al Ma hine Learning from DataLe turer: Samy BengioS hool: EPFL, Do toral S hool• Title: Tutorial on Statisti al Ma hine Learning, with appli ation to Multimodal Intera tionsLe turer: Samy BengioS hool: International Conferen e on Multimodal Intera tion (ICMI), O tober 2005, Trento,Italy.• Title: Spee h Pro essing by Humans and by Ma hines (One week intensive graduate ourse)Le turer: Hynek HermanskyS hool: Brno University of Te hnology• Title: Spee h Re ognition by Ma hineLe turer: Hynek HermanskyS hool: Telluride Summer S hool on Neuromorphi Engineering• Title: Cerveau, Te hnologie, InvaliditéLe turer: José del R. MillánS hool: HES, Sion• Title: Emerging Te hnologies in Arti� ial Intelligen e and Pattern Re ognitionLe turer: A. Vin iarelli and J-M. OdobezS hool: Haute é ole d'ingénierie et de gestion du anton de Vaud (HEIG-VD)2.5 Short term student proje ts• Trainee: Cuong Huy ToSupervisor: Prof. H. HermanskyUniversity/S hool: Hanoi University of Te hnology, Vietnam• Trainee: Guillaume Heus hSupervisor: Dr S. Mar elUniversity/S hool: EPFL• Trainee: Maganti Hari KrishnaSupervisor: Prof. H. BourlardUniversity/S hool: Ulm University, Germany

10 IDIAP�Com 2006-01• Trainee: Jean-Yves ParfaitSupervisor: Dr J. VepaUniversity/S hool: Fa ulté Polyte hnique de Mons, Belgium• Trainee: David VandrommeSupervisor: Dr A. Vin iarelliUniversity/S hool: Fa ulté Polyte hnique de Mons, Belgium• Trainee: Mikko LethonenSupervisor: Prof. H. HermanskyUniversity/S hool: EURECOM, Fran e• Trainee: Ti�any SauquetSupervisor: Dr S. Mar elUniversity/S hool: EURECOM, Fran e• Trainee: Coralie HemptineSupervisor: Prof. H. BourlardUniversity/S hool: Fa ulté Polyte hnique de Mons, Belgium2.6 Other student proje ts• Trainee: Jonathan ReySupervisor: Frank FormazUniversity/S hool: E ole des Métiers

IDIAP�Com 2006-01 113 S ienti� A tivities3.1 EditorshipProf. Hervé Bourlard is• Member of the Editorial Board, Spee h Communi ation• Member of the Editorial Board, Intl. Journal of Pattern Re ognition and Arti� ial Intelligen e• Member of the Editorial Board, Journal of Negative Results in Spee h and Audio,http://journal.spee h. s. mu.edu/• Editor of the Spe ial Issue on Biometri Signal Pro essing of Eurasip Journal on Applied SignalPro essing (April 2004)Prof. Hynek Hermansky is• Member of the Editorial Board, Spee h Communi ation• Member of the Editorial Board, Phoneti a• Member of the Editorial Board, Journal of Negative Results in Spee h and Audio,http://journal.spee h. s. mu.edu/• Editor of Spe ial Issue of EURASIP JASP on Anthropomorphi pro essing of audio and spee hDr David Barber is• Asso iate Editor for Neuro omputingDr Samy Bengio is• Asso iate Editor for the Journal of Computational Statisti s3.2 S ienti� and Te hni al CommitteesProf. Hervé Bourlard is:• Member of the Board of Trustees, Intl. Computer S ien e Institute, Berkeley, CA, USA• Member of the European Information So iety Te hnology Advisory Group (ISTAG)• Fellow of the Engineering and Physi al S ien es Resear h Coun il (EPSRC), UK• Member of the Advisory Coun il of ISCA (International Spee h Communi ation Asso iation)• Member of the S ienti� Committee and area hair for Interspee h'05, Lisbon, September 2005.• Member of the S ienti� ommittee of MLMI'05, Edinburgh• Member of the S ienti� ommittee of European Symposium on Arti� ial Neural Networks,ESANN'05, Brugges• Expert for several European proje tsProf. Hynek Hermansky is:• Exe utive Chairman, 2005 International Conferen e on Text, Spee h and Dialogue, Cze h Re-publi

12 IDIAP�Com 2006-01• Member of the S ienti� and Te hni al Committee, SPECOM 2005, Patras, Gree e• Member of the S ienti� and Te hni al Committee, IEEE Workshop ASRU-2005Prof. José del R. Millán is• Member of the S ienti� Ameri an ThinkBank panel.• Program Committee Member: 16th European Conf. on Ma hine Learning, IEEE/RSJ Int.Conf. on Intelligent Robots and Systems 2005, IEEE Int. Conf. on Roboti s and Automation2005, Roboti s and Neurobiology Workshop (IWINAC'05 Conferen e), 8th Catalan Conferen eon Ariti� al Intelligen e, Ubiquitous Computing and Ambient Intelligen e 2005.• Co-organizer, �Brain-Computer Interfa e� International Competition III.• Expert for the European IST Programme.• Member of the review panel for AGAUR, Catalonia (Spain).Dr David Barber is• Member of the review panel for the EPSRC, UK• Member of the Resear h Review ommittee for the STW, The NetherlandsDr Samy Bengio is• General Chair: Joint AMI/PASCAL/IM2/M4Workshop on Multimodal Intera tion and RelatedMa hine Learning Algorithms, Edinburgh, S otland, July 2005, (MLMI'2005)• Program Committee member: NIPS Workshop on Ma hine Learning for Impli it Feedba k andUser Modeling (NIPS'2005)• Program Committee member: International Joint Conferen e on Arti� ial Intelligen e (IJ-CAI'2005), Poster Tra k• Program Committee member: International Workshop on Biometri Re ognition Systems (IW-BRS'2005)• Program Committee member: IEEE Workshop on Ma hine Learning for Signal Pro essing,(MLSP'2005)• S ienti� Committee member: European Symposium on Arti� ial Neural Networks(ESANN'2005)Dr Daniel Gati a-Perez is• Co-Chair, IEEE ICCV Workshop of Modeling People and Human Intera tion (PHI), 2005.• Organizing Committee Member, Int. Conf. on Image and Video Retrieval (CIVR), 2006.• Te hni al Program Committee Member� IEEE Int. Conf. on Computer Vision (ICCV), 2005.� ACM Int. Conf. on Multimedia (MM), 2006.� IEEE Int. Conf. on Multimedia (ICME), 2005� IEEE Int. Conf. on Image Pro essing (ICIP), 2005.� Int. Conf. on Image and Video Retrieval (CIVR), 2006.

IDIAP�Com 2006-01 13� Joint Workshop on Multimodal Intera tion and Related Ma hine Learning Algorithms(MLMI), 2006.� IEEE Int. Workshop on Te hnology for Edu ation in Developing Countries (TEDC), 2005.Dr Jean-Mar Odobez is• Co-organizer: workshop on Multimodal Multiparty Meeting Pro essing, at 7th ACM ICMI 2005 onferen e.• Program Committee Member:� IAPR Int. Conferen e Pattern Re ognition Workshop : Learning for Adaptable VisualSystems, 2004.� IEEE CVPR Workshop on Obje t Tra king and Classi� ation in and Beyond the VisibleSpe trum, 2006.• Te hni al Program Committee Member:� IEEE Int. Conf. Multimedia and Expo: 2004,2005� Inter. Conf. Pattern Re ognition (ICPR): 2004� IEEE Int. Conf.on Computer Vision (ICCV): 2005� NIPS 2005� IEEE Int. Conf. on Computer Vision and Pattern Re ognition (CVPR): 2006Dr Alessandro Vin iarelli is• Co-organizer of the International Workshop on Multimodal Multiparty Meeting Pro essing heldin onjun tion with International Conferen e on Multimodal Interfa es (O tober 2005).Dr Pierre Wellner is• Program Committee member: ACM Conferen e on User Interfa e Software Te hnology (UIST2005).• Demonstrations o- hair: UIST 2004.• Program Committee member: MLMI 04.• Conferen e Chair: UIST 2006.• Editorial Board: Personal and Ubiquitous Computing.3.3 S ienti� Presentations (other than onferen es)In this se tion, we brielfy list the s ienti� events and external (e.g., invited) talks, other than on-feren es, and whi h did not ne essarily result in a publi ation.• Event: Saarbru ken UniversityDate: Januray 13, 2005Speaker: Hervé BourlardTitle: Multi- hannel modeling and integration with appli ations in spee h and multimodal pro- essing• Event: Dept. of Computer S ien e, Università di Verona (Italy)Date: January 25, 2005

14 IDIAP�Com 2006-01Speaker: José del R. MillánTitle: Brain-Controlled Robots• Event: Invited talk, Benelearn'2005, Fourteenth Dut h-Belgian Conferen e on Ma hine Learn-ing. University of Twente. Ens hede, Holland.Date: February 2005Speaker: Samy BengioTitle: Challenges in Multi-Channel Sequen e Pro essing• Event: Invited talk, Signal Theory and Communi ations Department, Te hni al University ofCatalonia, Bar elonaDate: Feb. 2005Speaker: Daniel Gati a-PerezTitle: Re ognizing human intera tion in meetings• Event: Invited talk, Signal Theory and Communi ations Department, Te hni al University ofCatalonia, Bar elonaDate: Feb. 2005Speaker: Daniel Gati a-PerezTitle: Audio-visual tra king with sequential Monte Carlo methods• Event: CMU Graduate SeminarDate: February 2005Speaker: Hynek HermanskyTitle: Title: Towards a "Primal Sket h" of Spee h• Event: EURON Annual Meeting, Neuroboti s Workshop, Warsaw (Poland)Date: February 17, 2005Speaker: José del R. MillánTitle: Non-Invasive Brain-Controlled Robots• Event: Ci lo �Cien ia y Te nología�, Ministerio de Edu a ión y Cien ia & Universidad deOviedo, Gijón (Spain)Date: February 25, 2005Speaker: José del R. MillánTitle: Posibilidades de Intera ión Cerebro-Ordenador• Event: Seminar Cognition, Université Lumière Lyon 2, Lyon, Fran eDate: Mar h 2005Speaker: Samy BengioTitle: Statisti al Ma hine Learning Applied to Multi-Channel Sequen e Pro essing• Event: NBIC (Nano-Bio-Info-Cogno) Converging Te hnologies Forum. Bar elona (Spain)Date: Mar h 1, 2005Speaker: José del R. MillánTitle: Brain-A tuated Intera tion

IDIAP�Com 2006-01 15• Event: Neurology Clini and Neuros ien e Dept., Geneva University (Switzerland)Date: Mar h 2, 2005Speaker: José del R. MillánTitle: Brain-Computer Interfa es for Communi ation and Control• Event: Urbanna-Champaign UNiversityDate: Mar h 28, 205Speaker: Hervé BourlardTitle: Multi- hannel modeling and integration with appli ations in spee h and multimodal pro- essing• Event: Irvine UniversityDate: April 1, 2005Speaker: Hervé BourlardTitle: Multi- hannel modeling and integration with appli ations in spee h and multimodal pro- essing• Event: Bristol University Engineering DepartmentDate: April 4, 2005Speaker: David BarberTitle: Inferen e methods in ma hine learning• Event: Florida Te hDate: April 4, 2005Speaker: Hervé BourlardTitle: Multi- hannel modeling and integration with appli ations in spee h and multimodal pro- essing• Event: Edinburgh University Informati s DepartmentDate: May 9, 2005Speaker: David BarberTitle: Expe tation Corre tion for Swit hing Linear Gaussian Dynami al Systems• Event: Forum Engelberg, Lu erneDate: May 22-25, 2005Speaker: Hervé BourlardTitle: Invited speaker (2 talks): Computer Enhan ed Group Communi ation in Meetings; AFew (Te hni al and Operational) Challenges in the Evolution of the IST 7th FWP• Event: So iété Valaisanne de Physique, Sion (Switzerland)Date: June 10, 2005Speaker: José del R. MillánTitle: Interfa es Cérébrales: De la Pensée à l'A tion• Event: Ulm UniversityDate: June 27, 2005Speaker: Hervé Bourlard

16 IDIAP�Com 2006-01Title: Multi- hannel modeling and integration with appli ations in spee h and multimodal pro- essing• Event: EU - INI Workshop: Integration of neuromorphi systems for sensory-motor pro essing,ETH Zuri hDate: July 2005Speaker: Hynek HermanskyTitle: Human-Like Spee h Information Pro essing• Event: SNN Radboud University NijmegenDate: O tober 5, 2005Speaker: David BarberTitle: Kernelized Information theoreti Clustering• Event: International Conferen e on Multimodal interfa es TrentoDate: O tober 5, 2005Speaker: Hervé BourlardTitle: Invited panel dis ussion on: Multinational Cooperation on Multimodal Intera tion• Event: University of Amsterdam, Informati s InstituteDate: O tober 7, 2005Speaker: David BarberTitle: New Information theoreti approa hes to Clustering• Event: Swiss Summit on ICT Next Generation Networks and Servi es, FribourgDate: 31 O tober 2005Speaker: Hervé BourlardTitle: Some ICT trends in multimodal pro essing at IDIAP and the EU• Event: Institute for Neuroinformati s, ETH Zuri hDate: November 2005Speaker: Hynek HermanskyTitle: Towards bio- onsistent pro essing of a ousti signals• Event: Invited talk, S hool of Computer Engineering, Nanyang Te hnologi al University, Sin-gaporeDate: Nov. 2005Speaker: Daniel Gati a-PerezTitle: Modeling group intera tion in meetings• Event: Computer S ien e Fa ulty, Univ. of Karlsruhe (Germany). Distinguished Le tureDate: November 28, 2005Speaker: José del R. MillánTitle: Non-Invasive Brain-Controlled Robots• Event: ASRU'05, San Juan, Puerto Ri oDate: Nov.28-De .1, 2005Speaker: Hervé BourlardTitle: 3 invited panel dis ussions: ASR Funding: Su esses and Pitfalls; What about large s aleunsupervised learning ? ; Next ASR hallenges: Computer Enhan ed Group Communi a-tion in Meetings

IDIAP�Com 2006-01 174 Publi ations (2004 and 2005)4.1 Arti les in International Journals[1℄ A.Vin iarelli, Appli ation of information retrieval te hniques to single writer do uments, Pat-tern Re ognition Letters, to appear, (2005).[2℄ A.Vin iarelli, S.Bengio, and H.Bunke, O�ine re ognition of un onstrained handwrittentexts using HMMs and statisti al language models, IEEE Transa tions on Pattern Analysis andMa hine Intelligen e, 26 (2004), pp. 709�720.[3℄ S. Bengio, Multimodal spee h pro essing using asyn hronous hidden markov models, InformationFusion, 5 (2004), pp. 81�89.[4℄ A. T. Cemgil, B. Kappen, and D. Barber, A Generative Model for Musi Trans ription,IEEE Transa tions on Spee h and Audio Pro essing, (2004).[5℄ D. Chen and J.-M. Odobez, Video Text Re ognition using Sequential Monte Carlo and ErrorVoting Methods, Pattern Re ognition Letters, 26 (2005), pp. 1386�1403.[6℄ D. Chen, J.-M. Odobez, and H. Bourlard, Text Dete tion and Re ognition in Images andVideos, Pattern Re ognition, 37 (2004), pp. 595�609.[7℄ D. Chen, J.-M. Odobez, and J.-P. Thiran, A lo alization/veri� ation s heme for �ndingtext in images and video frames based on ontrast independent features and ma hine learningmethods, Signal Pro essing: Image Communi ation, 19 (2004), pp. 205�217.[8℄ D. Chen, J.-M. Odobez, and J.-P. Thiran, Monte Carlo Video Text Segmentation, Interna-tional Journal of Pattern Re ognition and Arti� ial Intelligen e (IJPRAI), 19 (2005), pp. 647�661.[9℄ S. Chiappa and D. Barber, Eeg lassi� ation using generative independent omponent analysis,Neuro omputing, (2006).[10℄ Conrad Sanderson and Kuldip K. Paliwal, Identity veri� ation using spee h and fa einformation, Digital Signal Pro essing, 14 (2004), pp. 449�480.[11℄ Conrad Sanderson, Samy Bengio, and Yongsheng Gao, On transforming statisti al mod-els for non-frontal fa e veri� ation, Pattern Re ognition (in press), (2005).[12℄ F. de Wet, K. Weber, L. Boves, B. Cranen, S. Bengio, and H. Bourlard, Evaluationof formant-like features for automati spee h re ognition, Journal of the A ousti al So iety ofAmeri a (JASA), 116 (2004), pp. 1781�1792.[13℄ Fabien Cardinaux, Conrad Sanderson, and Samy Bengio, User Authenti ation viaAdapted Statisti al Models of Fa e Images, IEEE Transa tion on Signal Pro essing, (2005).[14℄ R. Grave de Peralta Menendez, S. Gonzalez Andino, L. Perez, P. Ferrez, andJ. Millán, Non-invasive estimation of lo al �eld potentials for neuroprosthesis ontrol, CognitivePro essing, Spe ial Issue on Motor Planning in Humans and Neuroprosthesis Control, (2005).[15℄ J. Mariéthoz and S. Bengio, A uni�ed framework for s ore normalization te hniques appliedto text independent speaker veri� ation, IEEE Signal Pro essing Letters, Volume 12, 12 (2005).[16℄ I. M Cowan, D. Gati a-Perez, S. Bengio, G. Lathoud, M. Barnard, and D. Zhang,Automati analysis of multimodal group a tions in meetings, IEEE Transa tions on Pattern Anal-ysis and Ma hine Intelligen e (to appear), (2004).[17℄ J. Millán, Interfa es erebrales, Mente y Cerebro, (2005).

18 IDIAP�Com 2006-01[18℄ J. Millán, F. Renkens, J. Mouriño, and W. Gerstner, Brain-a tuated intera tion, Arti-� ial Intelligen e, (2004).[19℄ J. Millán, F. Renkens, J. Mouriño, and W. Gerstner, Non-invasive brain-a tuated ontrolof a mobile robot by human EEG, IEEE Trans. on Biomedi al Engineering, Spe ial Issue on Brain-Ma hine Interfa es, (2004).[20℄ J.-M. Odobez, D. Gati a-Perez, and S. Ba, Embedding motion in model-based sto hasti tra king, IEEE Trans. on Image Pro essing, a epted for publi ation, (2005).[21℄ J.-P. Pfister, T. Toyoizumi, D. Barber, and W. Gerstner, Optimal Spike-Timing De-pendent Plasti ity for Pre ise A tion Potential Firing in Supervised Learing, (2005).[22℄ N. Poh and S. Bengio, Database, proto ol and tools for evaluating s ore-level fusion algorithmsin biometri authenti ation, Pattern Re ognition Journal, (2005).[23℄ N. Poh and S. Bengio, How do orrelation and varian e of base-experts a�e t fusion in bio-metri authenti ation tasks?, IEEE Trans. on Signal Pro essing, (2005).[24℄ T. A. Stephenson, M. Magimai-Doss, and H. Bourlard, Spee h re ognition with auxiliaryinformation, IEEE Trans. on Spee h and Audio Pro essing, 4 (2004), pp. 189�203.[25℄ A. Vin iarelli, Noisy text ategorization, IEEE Transa tions on Pattern Analysis and Ma hineIntelligen e, to appear., (2005).[26℄ A. Vin iarelli and J.-M. Odobez, Appli ation of information retrieval te hnologies to pre-sentation slides, IEEE Transa tions on Multimedia, to appear, (2005).4.2 Arti les in Conferen e Pro eedings[1℄ Ma hine learning for multimodal intera tion: First international workshop, MLMI'2004, vol. 3361of Le ture Notes in Computer S ien e, Springer-Verlag Heidelberg, 2005.[2℄ J. Ajmera, G. Lathoud, and I. M Cowan, Clustering and segmenting speakers and theirlo ations in meetings, in ICASSP, 2004.[3℄ J. Ajmera, I. M Cowan, and H. Bourlard, An online audio indexing system, 2004.[4℄ M. Al-Hames, A. Dielmann, D. Gati a-Perez, S. Reiter, S. Renals, and D. Zhang,Multimodal Integration for Meeting Group A tion Segmentation and Re ognition, in MLMI, 2005.[5℄ G. Aradilla, J. Dines, and S. Sivadas, Using rasta in task independent tandem featureextra tion, in Pro eedings of ICSLP, 2004, no. 22, Martigny, Switzerland, 2004.[6℄ G. Aradilla, J. Vepa, and H. Bourlard, Improving spee h re ognition using a data-drivenapproa h, in Pro eedings of Interspee h, 2005, no. 66, Martigny, Switzerland, 2005.[7℄ M. Athineos, H. Hermansky, and D. P. Ellis, Lp-trap: Linear predi tive temporal patterns,2004.[8℄ M. Athineos, H. Hermansky, and D. P. Ellis, Plp2: Autoregressive modeling of auditory-like2-d spe tro-temporal patterns, 2004.[9℄ S. Ba and J.-M. Odobez, A probabilisti framework for joint head tra king and pose estimation,in 17th Int. Conf. Pattern Re ognition (ICPR), vol. 4, Cambridge, UK, Aug. 2004.[10℄ S. O. Ba and J. M. Odobez, Evaluation of multiple ues head pose tra king algorithm in indoorenvironments, in International Conferen e on Multimedia & Expo ICME 2005, 2005.[11℄ S. O. Ba and J.-M. Odobez, A rao-bla kwellized mixed state parti le �lter for head posetra king, in ACM ICMI Workshop on Multimodal Multiparty Meeting Pro essing (MMMP),2005.

IDIAP�Com 2006-01 19[12℄ M. Barnard and J.-M. Odobez, Robust play�eld segmentation using map adaptation, in Pro .17th International Conferen e on Pattern Re ognition (ICPR 2004), Cambridge, United King-dom, August 2004.[13℄ S. Bengio and J. Mariéthoz, The expe ted performan e urve: a new assessment measure forperson authenti ation, in Pro eedings of Odyssey 2004: The Speaker and Language Re ognitionWorkshop, 2004.[14℄ S. Bengio and J. Mariéthoz, A statisti al signi� an e test for person authenti ation, in Pro- eedings of Odyssey 2004: The Speaker and Language Re ognition Workshop, 2004.[15℄ S. Bengio, J. Mariéthoz, and M. Keller, The expe ted performan e urve, in InternationalConferen e on Ma hine Learning, ICML, Workshop on ROC Analysis in Ma hine Learning, 2005.[16℄ M. F. BenZeghiba and H. Bourlard, Con�den e Measures in Multiple pronun iations Mod-eling For Speaker Veri� ation, in Pro eedings of the 2004 IEEE International Conferen e onA ousti s, Spee h, and Signal Pro essing (ICASSP-04), 2004.[17℄ M. F. BenZeghiba and H. Bourlard, Posteriori Probabilities and Likelihoods Combinationfor Spee h and Speaker Re ognition, in International Conferen e on Spoken Language Pro essing(ICSLP 2004), Juju island, Korea, 2004.[18℄ J. Bourgeois, J. Freudenberger, and G. Lathoud, Impli it Control of Noise Can ellerfor Spee h Enhan ement, in Pro eedings of INTERSPEECH 2005, Lisbon, Portugal, September2005.[19℄ J. Carletta, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadle ,V. Karaiskos, W. Kraaij, M. Kronenthal, G. Lathoud, M. Lin oln, A. Lisowska,I. M Cowan, W. Post, D. Reidsma, and P. Wellner, The ami meeting orpus: a pre-announ ement, in Ma hine Learning for Multimodal Intera tion: Se ond International Workshop,MLMI'2005, 2005.[20℄ S. Chiappa and D. Barber, Generative independent omponent analysis for eeg lassi� ation,in European Symposium on Arti� ial Neural Networks ESANN, 2005.[21℄ S. Chiappa and D. Barber, Generative temporal i a for lassi� ation in asyn hronous b isystems, in The 2nd International IEEE EMBS Conferen e On Neural Engineering, 2005.[22℄ S. Chiappa and S. Bengio, Hmm and iohmm modeling of eeg rhythms for asyn hronous b isystems, in European Symposium on Arti� ial Neural Networks ESANN, 2004.[23℄ R. Collobert and S. Bengio, A gentle hessian for e� ient gradient des ent, in IEEE Inter-national Conferen e on A ousti , Spee h, and Signal Pro essing, ICASSP, 2004.[24℄ R. Collobert and S. Bengio, Links between per eptrons, MLPs and SVMs, in InternationalConferen e on Ma hine Learning, ICML, 2004.[25℄ Conrad Sanderson and Samy Bengio, Statisti al Transformations of Frontal Models forNon-Frontal Fa e Veri� ation, in Pro eedings of the IEEE International Conferen e on ImagePro essing (ICIP), Singapore, O tober 2004.[26℄ C. Dimitrakakis and S. Bengio, Boosting hmms with an appli ation to spee h re ognition, inIEEE International Conferen e on A ousti , Spee h, and Signal Pro essing, ICASSP, 2004.[27℄ C. Dimitrakakis and S. Bengio, Online poli y adaptation for ensemble lassi�ers, in 12thEuropean Symposium on Arti� ial Neural Networks, ESANN 04, 2004.[28℄ C. Dimitrakakis and S. Bengio, Boosting word error rates, in IEEE International Conferen eon A ousti , Spee h, and Signal Pro essing, ICASSP, 2005.[29℄ Fabien Cardinaux, Conrad Sanderson, and Samy Bengio, Fa e Veri� ation UsingAdapted Generative Models, in The 6th International Conferen e on Automati Fa e and GestureRe ognition, FG2004, Seoul, Korea, 2004, IEEE.

20 IDIAP�Com 2006-01[30℄ P. Ferrez and J. Millán, You are wrong!�automati dete tion of intera tion errors frombrain waves, in Pro eedings of the 19th International Joint Conferen e on Arti� ial Intelligen e,Edinburgh, UK, August 2005.[31℄ P. Fousek, P. Svojanovsky, F. Grezl, and H. Hermansky, New nonsense syllablesdatabase � analyses and preliminary asr experiments, in Pro eedings of International Confer-en e on Spoken Language Pro essing (ICSLP), O tober 2004.[32℄ D. Gati a-Perez, G. Lathoud, J.-M. Odobez, and I. M Cowan, Multimodal multispeakerprobabilisti tra king in meetings, in Pro . Int. Conf. on Multimodal Interfa es (ICMI), 2005.[33℄ D. Gati a-Perez, I. M Cowan, D. Zhang, and S. Bengio, Dete ting group interest-levelin meetings, in IEEE Int. Conf. on A ousti s, Spee h, and Signal Pro essing (ICASSP), 2005.[34℄ D. Gati a-Perez, J.-M. Odobez, S. Ba, K. Smith, and G. Lathoud, Tra king people inmeetings with parti les, in Pro . Int. Workshop on Image Analysis for Multimedia Intera tiveServi es (WIAMIS), invited paper, 2005.[35℄ D. Gati a-Perez, N. Triroj, J.-M. Odobez, A. Loui, and M.-T. Sun, Assessing s enestru turing in onsumer videos, in Int. Conf. on Image and Video Retrieval (CIVR), 2004.[36℄ D. Gati a-Perez, D. Zhang, and S. Bengio, Extra ting Information from Multimedia Meet-ing Colle tions, in 7th ACM SIGMM International Workshop on Multimedia Information Re-trieval, 2005.[37℄ Y. Grandvalet, J. Mariéthoz, and S. Bengio, A probabilisti interpretation of svms with anappli ation to unbalan ed lassi� ation, in Advan es in Neural Information Pro essing Systems,NIPS 15, 2005.[38℄ D. Grangier and S. Bengio, Exploiting hyperlinks to learn a retrieval model, in NIPS Work-shop on Learning to Rank, Whistler, Canada, De ember 2005.[39℄ D. Grangier and S. Bengio, Inferring do ument similarity from hyperlinks, in ACM Confer-en e on Information and Knowledge Management, Bremen, Germany, O tober 2005.[40℄ D. Grangier and A. Vin iarelli, E�e t of segmentation method on video retrieval perfor-man e, in Pro eedings of the 2005 IEEE International Conferen e on Multimedia and Expo(ICME-05), Amsterdam, The Netherlands, July 2005.[41℄ H. Hermansky and P. Fousek, Multi-resolution rasta �ltering for tandem-based asr, in Pro- eedings of Interspee h 2005, 2005.[42℄ H. Hermansky, P. Fousek, and M. Lehtonen, The role of spee h in multimodal human- omputer intera tion (towards reliable reje tion of non-keyword input), in Pro eedings of 8thInternational Conferen e on Text, Spee h and Dialogue - TSD 2005, September 2005.[43℄ G. Heus h, Y. Rodriguez, and S. Mar el, Lo al binary patterns as an image prepro essingfor fa e authenti ation, in IEEE Int. Conf. on Automati Fa e and Gesture Re ognition (AFGR),2006.[44℄ S. Ikbal, M. Magimai.-Doss, H. Misra, and H. Bourlard, Spe tro-Temporal A tivity Pat-tern (STAP) Features for Noise Robust ASR, in Pro eedings of the INTERSPEECH-ICSLP-04,Jeju Island, Korea, May 2004.[45℄ S. Ikbal, H. Misra, H. Bourlard, and H. Hermansky, Phase AutoCorrelation (PAC)features in Entropy based Multi-Stream for Robust Spee h Re ognition, in Pro eedings of the2004 IEEE International Conferen e on A ousti s, Spee h, and Signal Pro essing (ICASSP-04),Montreal, Canada, May 2004.[46℄ S. Ikbal, H. Misra, S. Sivadas, H. Hermansky, and H. Bourlard, Entropy Based Combi-nation of Tandem Representations for Noise Robust ASR, in Pro eedings of the INTERSPEECH-ICSLP-04, Jeju Island, Korea, O tober 2004.

IDIAP�Com 2006-01 21[47℄ A. Just, O. Bernier, and S. Mar el, Re ognition of isolated omplex mono- and bi-manual3d hand gestures, in Pro . of the sixth International Conferen e on Automati Fa e and GestureRe ognition, 2004.[48℄ A. Just, Y. Rodriguez, and S. Mar el, Hand posture lassi� ation and re ognition usingthe modi�ed ensus transform, in IEEE Int. Conf. on Automati Fa e and Gesture Re ognition(AFGR), 2006.[49℄ M. Keller and S. Bengio, A Neural Network for Text Representation, in International Con-feren e on Arti� ial Neural Networks, ICANN, 2005.[50℄ M. Keller, S. Bengio, and S. Y. Wong, Ben hmarking non-parametri statisti al tests, inAdvan es in Neural Information Pro essing Systems, NIPS 18. MIT Press, 2005.[51℄ H. Ketabdar, H. Bourlard, and S. Bengio, Hierar hi al multi-stream posterior based spee hre ognition system, in Pro eedings MLMI workshop, Edinburgh, U.K., 2005.[52℄ H. Ketabdar, J. Vepa, S. Bengio, and H. Bourlard, Developing and enhan ing posteriorbased spee h re ognition systems, in Pro eedings of Interspee h, Lisbon, Portugal, 2005.[53℄ G. Lathoud, J. Bourgeois, and J. Freudenberger, Multi hannel spee h enhan ement in ars: Expli it vs. impli it adaptation ontrol, in Pro eedings of HSCMA 2005, Pis ataway, NJ,USA, Mar h 2005.[54℄ G. Lathoud and M. Magimai.-Doss, A Se tor-Based, Frequen y-Domain Approa h to Dete -tion and Lo alization of Multiple Speakers, in Pro eedings of ICASSP 2005, Philadelphia, USA,Mar h 2005.[55℄ G. Lathoud, M. Magimai.-Doss, and B. Mesot, A Spe trogram Model for Enhan ed Sour eLo alization and Noise-Robust ASR, in Pro eedings of INTERSPEECH 2005, Lisbon, Portugal,September 2005.[56℄ G. Lathoud and I. A. M Cowan, A Se tor-Based Approa h for Lo alization of Multiple Speak-ers with Mi rophone Arrays, in Pro eedings of the 2004 SAPA Workshop, Jeju Island, Korea,O tober 2004.[57℄ G. Lathoud, I. A. M Cowan, and J.-M. Odobez, Unsupervised Lo ation-Based Segmen-tation of Multi-Party Spee h, in Pro eedings of the 2004 ICASSP-NIST Meeting Re ognitionWorkshop, Montreal, Canada, May 2004.[58℄ G. Lathoud, J.-M. Odobez, and D. Gati a-Perez, AV16.3: an Audio-Visual Corpus forSpeaker Lo alization and Tra king, in Pro eedings of the 2004 MLMI Workshop, S. Bengio andH. Bourlard Eds, Springer Verlag, 2005.[59℄ M. Liwi ki, A. S hlapba h, H. Bunke, S. Bengio, J. Mariéthoz, and J. Ri hiardi,Writer identi� ation for smart meeting room systems, in Seventh IAPR Workshop on Do umentAnalysis Systems, DAS, 2006.[60℄ M. Magimai.-Doss, S. Bengio, and H. Bourlard, Joint de oding for phoneme-grapheme ontinuous spee h re ognition, in Pro eedings of ICASSP, Montreal, Canada, 2004.[61℄ M. Magimai.-Doss, T. A. Stephenson, S. Ikbal, and H. Bourlard, Modelling auxiliaryfeatures in tandem systems, in Pro eedings of ICSLP, South Korea, 2004.[62℄ S. Mar el, A symmetri transformation for lda-based fa e veri� ation, in Pro eedings of the 6thInternational Conferen e on Automati Fa e and Gesture Re ognition, IEEE Computer So ietyPress, 2004.[63℄ S. Mar el and Y. Rodriguez, Boosting pixel-based lassi�ers for fa e veri� ation, in Biometri Authenti ation Workshop of the 8th European Conferen e on Computer Vision, BIOAW2004,Prague, Cze h Republi , 2004, Springer-Verlag.[64℄ I. M Cowan, M. H. Krishna, D. Gati a-Perez, D. Moore, and S. Ba, Spee h a quisitionin meetings with an audio-visual sensor array, in Pro. IEEE ICME, 2005.

22 IDIAP�Com 2006-01[65℄ M. M Greevy, Pseudo-synta ti language modeling for dis�uent spee h re ognition, in Pro eed-ings of SST 2004 (10th Australian International Conferen e on Spee h S ien e & Te hnology),Sydney, Australia, 2004, De ember 2004.[66℄ J. Millán, On the need for on-line learning in brain- omputer interfa es, in Pro eedings of theInternational Joint Conferen e on Neural Networks, Budapest, Hungary, July 2004.[67℄ J. Millán, Restoring lo omotion with a thought ontrolled mobile robot, in Pro eedings of the4th Forum of European Neuros ien e, Lisbon, Portugal, June 2004.[68℄ H. Misra and H. Bourlard, Spe tral Entropy Feature in Full-Combination Multi-Stream forRobust ASR, in Pro eedings of ISCA European Conferen e on Spee h Communi ation and Te h-nology (Eurospee h), Lisbon, Portugal, September 2005.[69℄ H. Misra, S. Ikbal, H. Bourlard, and H. Hermansky, Spe tral Entropy Based Feature forRobust ASR, in Pro eedings of IEEE International Conferen e on A ousti s, Spee h, and SignalPro essing (ICASSP), Montreal, Canada, May 2004.[70℄ H. Misra, S. Ikbal, S. Sivadas, and H. Bourlard, Multi-resolution Spe tral Entropy BasedFeature for Robust ASR, in Pro eedings of IEEE International Conferen e on A ousti s, Spee h,and Signal Pro essing (ICASSP), Philadelphia, U.S.A., Mar h 2005.[71℄ F. Monay and D. Gati a-Perez, Plsa-based image auto-annotation: Constraining the latentspa e, in Pro . ACM Int. Conf. on Multimedia (ACM MM), O t. 2004.[72℄ F. Monay, P. Quelhas, D. Gati a-Perez, and J.-M. Odobez, Constru ting visual modelswith a latent spa e approa h, in the Springer series of Le ture Notes in Computer S ien e, 2006.[73℄ J.-M. Odobez and D. Gati a-Perez, Embedding motion in model-based sto hasti tra king,in 17th Int. Conf. Pattern Re ognition (ICPR), vol. 2, Cambridge, UK, August 2004.[74℄ J.-F. Paiement, D. E k, and S. Bengio, A probabilisti model for hord progressions, inPro eedings of the Sixth International Conferen e on Musi Information Retrieval (ISMIR), 2005.[75℄ J.-F. Paiement, D. E k, S. Bengio, and D. Barber, A graphi al model for hord progres-sions embedded in a psy hoa ousti spa e, in Pro eedings of the 22nd International Conferen eon Ma hine Learning, 2005.[76℄ N. Poh and S. Bengio, Noise-robust multi-stream fusion for text-independent speaker authen-ti ation, in The Speaker and Re ognition Workshop, 2004.[77℄ N. Poh and S. Bengio, Towards predi ting optimal subsets of base-experts in biometri authen-ti ation task, 2004.[78℄ N. Poh and S. Bengio, Why do multi-stream, multi-band and multi-modal approa hes work onbiometri user authenti ation tasks?, in Pro eedings of the 2004 IEEE International Conferen eon A ousti s, Spee h, and Signal Pro essing (ICASSP-04), 2004.[79℄ N. Poh and S. Bengio, Database, proto ol and tools for evaluating s ore-level fusion algorithmsin biometri authenti ation, in Fifth Int'l. Conf. Audio- and Video-Based Biometri Person Au-thenti ation AVBPA, 2005.[80℄ N. Poh and S. Bengio, Eer of �xed and trainable fusion lassi�ers: A theoreti al study with ap-pli ation to biometri authenti ation tasks, in Sixth International Workshop on Multiple Classi�erSystem (MCS2005), 2005.[81℄ N. Poh and S. Bengio, F-ratio lient-dependent normalisation on biometri authenti ationtasks, in Pro eedings of the 2005 IEEE International Conferen e on A ousti s, Spee h, and SignalPro essing (ICASSP-05), 2005, pp. I�721�724.[82℄ N. Poh and S. Bengio, Improving fusion with margin-derived on�den e in biometri authen-ti ation tasks, in Fifth Int'l. Conf. Audio- and Video-Based Biometri Person Authenti ationAVBPA, 2005.

IDIAP�Com 2006-01 23[83℄ N. Poh and S. Bengio, A novel approa h to ombining lient-dependent and on�den e infor-mation in multimodal biometri , in Fifth Int'l. Conf. Audio- and Video-Based Biometri PersonAuthenti ation AVBPA, 2005.[84℄ N. Poh, C. Sanderson, and S. Bengio, An investigation of spe tral subband entroids forspeaker authenti ation, in Int'l Conf. on Biometri Authenti ation, 2004.[85℄ V. Popovi i, J.-P. Thiran, Y. Rodriguez, and S. Mar el, On performan e evaluation offa e dete tion and lo alization algorithms, in 17th International Conferen e on Pattern Re ogni-tion, ICPR2004, Cambridge, United Kingdom, 2004.[86℄ A. Pozdnoukhov and S. Bengio, Tangent ve tor kernels for invariant image lassi� ationwith svms, in 17th Int. Conf. Pattern Re ognition (ICPR), Cambridge, UK, Aug. 2004.[87℄ P. Quelhas, F. Monay, J.-M. Odobez, D. Gati a-Perez, T. Tuytelaars, and L. V.Gool, Modeling s enes with lo al des riptors and latent aspe ts, in IEEE Int. Conf. on ComputerVision, 2005.[88℄ P. Quelhas and J.-M. Odobez, Fusion of stru tural and olor lo al des riptors for enhan edobje t re ognition, in Pro eedings IEEE WIAMIS 2004(5th International Workshop on ImageAnalysis for Multimedia Intera tive Servi es), 21-23 April, 2004, Lisboa, Portugal, April 2004.[89℄ Y. Rodriguez, F. Cardinaux, S. Bengio, and J. Mariéthoz, Estimating the quality of fa elo alization for fa e veri� ation, in IEEE International Conferen e on Image Pro essing, ICIP,2004.[90℄ Y. Rodriguez and S. Mar el, Fa e authenti ation using adapted lo al binary pattern his-tograms, in 9th European Conferen e on Computer Vision (ECCV), 2006.[91℄ C. Sanderson, F. Cardinaux, and S. Bengio, On a ura y/robustness/ omplexity trade-o�sin fa e veri� ation, in IEEE International Conferen e on Information Te hnology and Appli a-tions, ICITA, 2005.[92℄ S. Sivadas and H. Hermansky, On Use of Task Independent Training Data in Tandem FeatureExtra tion, in Pro eedings of the 2004 IEEE International Conferen e on A ousti s, Spee h, andSignal Pro essing (ICASSP-04), Montreal, Canada, May 2004.[93℄ K. Smith, Order matters: A distributed sampling method for multi-obje t tra king, in BritishMa hine Vision Conferen e (BMVC), no. 11, 2004, pp. 25�32.[94℄ J. Vepa and S. King, Subje tive evaluation of join ost fun tions used in unit sele tion spee hsynthesis, in Pro eedings of ICSLP, South Korea, 2004.[95℄ A. Vin iarelli, E�e t of re ognition errors on information retrieval performan e, in Pro eedingsof International Workshop on Frontiers in Handwriting Re ognition, 2004.[96℄ A. Vin iarelli, Noisy text ategorization, in Pro eedings of International Conferen e on PatternRe ognition (ICPR), 2004.[97℄ P. Wellner, M. Flynn, S. Tu ker, and S. Whittaker, A meeting browser evaluation test,in CHI '92: Pro eedings of the SIGCHI onferen e on Human fa tors in omputing systems,no. 02, New York, NY, USA, 2005, ACM Press, pp. 2021�2024.[98℄ D. Zhang, D. Gati a-Perez, and S. Bengio, Semi-supervised meeting event re ognition withadapted hmms, in Pro. IEEE ICME, 2005.[99℄ D. Zhang, D. Gati a-Perez, S. Bengio, and I. M Cowan, Semi-supervised adapted hmmsfor unusual event dete tion, in Pro. IEEE CVPR, 2005.[100℄ D. Zhang, D. Gati a-Perez, S. Bengio, I. M Cowan, and G. Lathoud, Modeling indi-vidual and group a tions in meetings: a two-layer hmm framework, in the Se ond IEEE Workshopon Event Mining: Dete tion and Re ognition of Events in Video, In Asso iation with CVPR, 2004.[101℄ D. Zhang, D. Gati a-Perez, S. Bengio, I. M Cowan, and G. Lathoud, MultimodalGroup A tion Clustering in Meetings, in ACM 2nd International Workshop on Video Surveillan e& Sensor Networks in onjun tion with 12th ACM International Conferen e on Multimedia, 2004.

24 IDIAP�Com 2006-01[102℄ D. Zhang, D. Gati a-Perez, S. Bengio, and D. Roy, Learning in�uen e among intera tingMarkov hains, in NIPS, 2005.[103℄ D. Zhang, S. Z. Li, and D. Gati a-Perez, Real-time fa e dete tion using boosting learningin hierar hi al feature spa es, in the International Conferen e on Pattern Re ognition (ICPR),2004.4.3 IDIAP Resear h Reports[1℄ F. Agakov and D. Barber, An auxiliary variational method, IDIAP-RR 86, IDIAP, Rue deSimplon 4, Martigny, CH-1920, Switerland, June 2004.[2℄ F. Agakov and D. Barber, Variational information maximization in gaussian hannels,IDIAP-RR 88, IDIAP, Rue de Simplon 4, Martigny, CH-1920, Switerland, April 2004.[3℄ F. Agakov and D. Barber, Kernelized infomax lustering, IDIAP-RR 73, IDIAP, 2005.[4℄ Alexei Pozdnoukhov and Samy Bengio, Invarian es in kernel methods: From samples toobje ts, IDIAP-RR 56, IDIAP, 2004.[5℄ Alexei Pozdnoukhov and Samy Bengio, A kernel lassi�er for distributions, IDIAP-RR 32,IDIAP, 2005.[6℄ G. Aradilla, J. Vepa, and H. Bourlard, Using pit h as prior knowledge in template-basedspee h re ognition, IDIAP-RR 65, IDIAP, Martigny, Switzerland, 2005.[7℄ D. Barber, Are two lassi�ers performing equally? a treatment using bayesian hypothesis testing,IDIAP-RR 57, IDIAP, Rue de Simplon 4, Martigny, CH-1920, Switerland, May 2004.[8℄ D. Barber, The auxiliary variable tri k for deriving kalman smoothers, IDIAP-RR 87, IDIAP,Rue de Simplon 4, Martigny, CH-1920, Switerland, De ember 2004.[9℄ D. Barber, A stable swit hing kalman smoother, IDIAP-RR 89, IDIAP, Rue de Simplon 4,Martigny, CH-1920, Switerland, De ember 2004.[10℄ D. Barber, Variational information maximization for population oding, IDIAP-RR 85, IDIAP,Rue de Simplon 4, Martigny, CH-1920, Switerland, June 2004.[11℄ D. Barber, Constru tion and omparison of approximations for swit hing linear gaussian statespa e models, IDIAP-RR 71, IDIAP, 2005.[12℄ D. Barber, E� ient kalman smoothing for harmoni state-spa e models, IDIAP-RR 87, IDIAP,2005.[13℄ D. Barber and B. Mesot, Constru tion and omparison of approximations for swit hing lin-ear gaussian state spa e models, IDIAP-RR 06, IDIAP, Rue de Simplon 4, Martigny, CH-1920,Switerland, February 2005.[14℄ D. Barber and P. Solli h, Stable dire ted belief propagation in gaussian dags using the aux-iliary variable tri k, IDIAP-RR 72, IDIAP, 2005.[15℄ S. Bengio, Joint training of multi-stream HMMs, IDIAP-RR 22, IDIAP, 2005.[16℄ S. Bengio and H. Bourlard, Multi hannel sequen e pro essing, IDIAP-RR 04, IDIAP, 2005.[17℄ M. F. BenZeghiba and H. Bourlard, Posteriori Probabilities and Likelihoods Combinationfor Spee h and Speaker Re ognition, IDIAP-RR 23, IDIAP, 2004.[18℄ M. F. BenZeghiba and H. Bourlard, User-Customized Password Speaker Veri� ation UsingMultiple Referen e and Ba kground Models, IDIAP-RR 41, IDIAP, 2004.[19℄ H. Bourlard, S. Bengio, M. M. Doss, Q. Zhu, B. Mesot, and N. Morgan, Towards usinghierar hi al posteriors for �exible automati spee h re ognition systems, IDIAP-RR 58, IDIAP,2004.[20℄ F. Camastra, M. Spinetti, and A. Vin iarelli, Cursive hara ter hallenge: a new databasefor ma hine learning and pattern re ognition, IDIAP-RR 79, IDIAP, 2005.[21℄ J. Carletta, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadle ,V. Karaiskos, W. Kraaij, M. Kronenthal, G. Lathoud, M. Lin oln, A. Lisowska,

IDIAP�Com 2006-01 25I. M Cowan, W. Post, D. Reidsma, and P. Wellner, The ami meeting orpus: a pre-announ ement, IDIAP-RR 82, IDIAP, 2005.[22℄ S. Chiappa and D. Barber, Bayesian linear gaussian state spa e models for biosignal de om-position, IDIAP-RR 84, IDIAP, 2005.[23℄ S. Chiappa and S. Bengio, Sequen e lassi� ation with input-output hidden markov models,IDIAP-RR 13, IDIAP, 2004.[24℄ R. Collobert and S. Bengio, Links between per eptrons, mlps and svms, IDIAP-RR 06,IDIAP, 2004.[25℄ Conrad Sanderson and Kuldip K. Paliwal, On the Use of Spee h and Fa e Informationfor Identity Veri� ation, IDIAP-RR 10, IDIAP, Mar h 2004.[26℄ Conrad Sanderson and Samy Bengio, Statisti al Transformation Te hniques for Fa e Ver-i� ation Using Fa es Rotated in Depth, IDIAP-RR 04, IDIAP, February 2004.[27℄ N. Daddaoua, J.-M. Odobez, and A. Vin iarelli, O r based slide retrieval, IDIAP-RR 11,IDIAP, Martigny, Switzerland, 2005.[28℄ C. Dimitrakakis and S. Bengio, Estimates of parameter distributions for optimal a tionsele tion, IDIAP-RR 72, IDIAP, 2004.[29℄ Fabien Cardinaux, Lo al Features and 1D-HMMs for Fast and Robust Fa e Authenti ation,IDIAP-RR 17, IDIAP, 2005.[30℄ P. Fousek and H. Hermansky, Towards asr based on hierar hi al posterior-based keywordre ognition, IDIAP-RR 64, IDIAP, 2005.[31℄ D. Gati a-Perez, G. Lathoud, J.-M. Odobez, and I. M Cowan, Audio-visual probabilisti tra king of multiple speakers in meetings, IDIAP-RR 27, IDIAP, Martigny, Switzerland, 2005.[32℄ D. Grangier and S. Bengio, A dis riminative de oder for the re ognition of phoneme se-quen es, IDIAP-RR 67, IDIAP, 2005.[33℄ D. Grangier and S. Bengio, Inferring do ument similarity from hyper-links, IDIAP-RR 21,IDIAP, 2005.[34℄ D. Grangier and A. Vin iarelli, E�e t of re ognition errors on text lustering, IDIAP-RR 82,IDIAP, 2004.[35℄ D. Grangier and A. Vin iarelli,Making retrieval faster through do ument lustering, IDIAP-RR 02, IDIAP, 2004.[36℄ D. Grangier and A. Vin iarelli, Noisy text lustering, IDIAP-RR 31, IDIAP, 2004.[37℄ F. C. Guillaume Heus h and S. Mar el, E� ient di�usion-based illumination normalizationfor fa e veri� ation, IDIAP-RR 46, IDIAP, 2005.[38℄ H. Hermansky, Sto hasti te hniques in deriving per eptual knowledge, IDIAP-RR 84, IDIAP,Martigny, Switzerland, 2004.[39℄ S. Ikbal, Nonlinear Feature Transformations for Noise Robust Spee h Re ognition, IDIAP-RR 70, IDIAP, Martigny, Switzerland, 2004.[40℄ S. Ikbal, H. Bourlard, and M. Magimai.-Doss, HMM/ANN Based Spe tral Peak Lo ationEstimation for Noise Robust Spee h Re ognition, IDIAP-RR 50, IDIAP, Martigny, Switzerland,2004.[41℄ S. Ikbal, H. Misra, H. Bourlard, and H. Hermansky, Phase AutoCorrelation (PAC)Features for Noise Robust ASR, IDIAP-RR 40, IDIAP, Martigny, Switzerland, 2004.[42℄ A. Just, O. Bernier, and S. Mar el, Hmm and iohmm for the re ognition of mono- andbi-manual 3d hand gestures, IDIAP-RR 39, IDIAP, 2004.[43℄ A. Just and S. Mar el, Two-handed gesture re ognition, IDIAP-RR 24, IDIAP, 2005.[44℄ M. Keller and S. Bengio, Theme Topi Mixture Model: A Graphi al Model for Do umentRepresentation, IDIAP-RR 05, IDIAP, 2004.[45℄ M. Keller, J. Mariéthoz, and S. Bengio, Signi� an e Tests for bizarre Measures in 2-ClassClassi� ation Tasks, IDIAP-RR 34, IDIAP, 2004.

26 IDIAP�Com 2006-01[46℄ H. Ketabdar, H. Bourlard, and S. Bengio, Hierar hi al multi-stream posterior based spee hre ognition system, IDIAP-RR 25, IDIAP, 2005.[47℄ H. Ketabdar, J. Vepa, S. Bengio, and H. Bourlard, Developing and enhan ing posteriorbased spee h re ognition systems, IDIAP-RR 23, IDIAP, 2005.[48℄ G. Lathoud, M. Magimai.-Doss, B. Mesot, and H. Bourlard, Unsupervised Spe tralSubstra tion for Noise-Robust ASR, IDIAP-RR 42, IDIAP, Martigny, Switzerland, 2005.[49℄ G. Lathoud, M. Magimai.-Doss, J.-M. Odobez, and H. Bourlard, Threshold Sele tionfor Unsupervised Dete tion, with an Appli ation to Mi rophone Arrays, IDIAP-RR 52, IDIAP,Martigny, Switzerland, 2005.[50℄ M. Lehtonen, Hierar hi al approa h for spotting keywords, IDIAP-RR 41, IDIAP, 2005.[51℄ M. Lin oln, I. M Cowan, J. Vepa, and H. K. Maganti, The multi- hannel wall streetjournal audio visual orpus (m -wsj-av): Spe i� ation and initial experiments, IDIAP-RR 69,IDIAP, 2005.[52℄ H. K. Maganti, J. Vepa, and H. Bourlard, Continuous mi rophone array spee h re ognitionon wall street journal orpus, IDIAP-RR 47, IDIAP, 2005.[53℄ M. Magimai.-Doss and H. Bourlard, On the adequa y of baseform pronun iations and pro-nun iation variants, IDIAP-RR 27, IDIAP, 2004.[54℄ M. Magimai.-Doss, J. Dines, H. Bourlard, and H. Hermansky, Phoneme vs graphemebased automati spee h re ognition, IDIAP-RR 48, IDIAP, 2004.[55℄ M. Magimai.-Doss, J. Dines, H. Bourlard, and H. Hermansky, Improving ontinuousspee h re ognition system performan e with grapheme modelling, IDIAP-RR 16, IDIAP, 2005.[56℄ M. Magimai.-Doss, T. A. Stephenson, S. Ikbal, and H. Bourlard, Modelling auxiliaryfeatures in tandem systems, IDIAP-RR 21, IDIAP, 2004.[57℄ Mar Saban and Conrad Sanderson, On Lo al Features for Fa e Veri� ation, IDIAP-RR 36, IDIAP, June 2004.[58℄ S. Mar el and J. del R. Millán, Person authenti ation using brainwaves (eeg) and maximuma posteriori model adaptation, IDIAP-RR 81, IDIAP, 2005.[59℄ S. Mar el, P. Jost, P. Vandergheynst, and J. Thiran, Fa e authenti ation using lient-spe i� mat hing pursuit, IDIAP-RR 78, IDIAP, 2004.[60℄ J. Mariéthoz and S. Bengio, A new spee h re ognition baseline system for numbers 95 version1.3 based on tor h, IDIAP-RR 16, IDIAP, 2004.[61℄ J. Mariéthoz and S. Bengio, Can a professional imitator fool a gmm-based speaker veri� ationsystem?, IDIAP-RR 61, IDIAP, 2005.[62℄ J. Mariéthoz and S. Bengio, A kernel tri k for sequen es applied to text-independent speakerveri� ation systems, IDIAP-RR 77, IDIAP, 2005.[63℄ I. M Cowan, D. Moore, J. Dines, D. Gati a-Perez, M. Flynn, P. Wellner, andH. Bourlard, On the use of information retrieval measures for spee h re ognition evaluation,IDIAP-RR 73, IDIAP, Martigny, Switzerland, 2004.[64℄ B. Mesot and D. Barber, Swit hing linear dynami al systems for noise robust spee h re og-nition, IDIAP-RR 08, IDIAP, 2006.[65℄ H. Misra and H. Bourlard, Spe tral entropy feature in multi-stream for robust asr, IDIAP-RR 45, IDIAP, Martigny, Switzerland, 2005.[66℄ H. Misra, J. Vepa, and H. Bourlard, Multi-stream asr: Ora le test and embedded training,IDIAP-RR 62, IDIAP, Martigny, Switzerland, 2005.[67℄ P. Motli ek, H. Hermansky, H. Garudadri, and N. Srinivasamurthy, Spee h odingbased on spe tral dynami s, IDIAP-RR 05, IDIAP, 2006.[68℄ J.-F. Paiement, D. E k, and S. Bengio, Chord representations for probabilisti models,IDIAP-RR 58, IDIAP, 2005.

IDIAP�Com 2006-01 27[69℄ A. Peregoudov, A. Vin iarelli, and H. Bourlard, Towards using slide information toenhan e spee h trans ription of meetings, IDIAP-RR 01, IDIAP, 2006.[70℄ M. Perrow and D. Barber, Probabilisti tagging of unstru tured genealogi al re ords, IDIAP-RR 86, IDIAP, 2005.[71℄ N. Poh and S. Bengio, Eviden es of equal error rate redu tion in biometri authenti ationfusion, IDIAP-RR 43, IDIAP, 2004.[72℄ N. Poh and S. Bengio, Improving fusion with margin-derived on�den e in biometri authen-ti ation tasks, IDIAP-RR 63, IDIAP, 2004.[73℄ N. Poh and S. Bengio, Improving single modal and multimodal biometri authenti ation usingf-ratio lient-dependent normalisation, IDIAP-RR 52, IDIAP, 2004.[74℄ N. Poh and S. Bengio, An investigation of f-ratio lient-dependent normalisation on biometri authenti ation tasks, IDIAP-RR 46, IDIAP, 2004.[75℄ N. Poh and S. Bengio, A study of the e�e ts of s ore normalisation prior to fusion in biometri authenti ation tasks, IDIAP-RR 69, IDIAP, 2004.[76℄ N. Poh and S. Bengio, Can himeri persons be used in multimodal biometri authenti ationexperiments?, IDIAP-RR 20, IDIAP, 2005.[77℄ N. Poh and S. Bengio, Compensating user-spe i� information with user-independent infor-mation in biometri authenti ation tasks, IDIAP-RR 44, IDIAP, 2005.[78℄ N. Poh and S. Bengio, Towards explaining the su ess (or failure) of fusion in biometri authenti ation, IDIAP-RR 43, IDIAP, 2005.[79℄ N. Poh and S. Bengio, Using himeri users to onstru t fusion lassi�ers in biometri au-thenti ation tasks: An investigation, IDIAP-RR 59, IDIAP, 2005.[80℄ N. Poh, S. Bengio, and A. Ross, Revisiting doddington's zoo: Employing user-dependentperforman e riterion for multibiometri fusion, IDIAP-RR 04, IDIAP, 2006.[81℄ N. Poh, A. Martin, and S. Bengio, Performan e generalization in biometri authenti ationusing joint user-spe i� and sample bootstraps, IDIAP-RR 60, IDIAP, 2005.[82℄ Y. Rodriguez, F. Cardinaux, S. Bengio, and J. Mariéthoz, Measuring the performan eof fa e lo alization systems, IDIAP-RR 53, IDIAP, 2005.[83℄ T. Sauquet, Y. Rodriguez, and S. Mar el,Multiview Fa e Dete tion, IDIAP-RR 49, IDIAP,2005.[84℄ V. Tyagi, H. Bourlard, and C. Wellekens, On variable-s ale pie ewise stationary spe tralanalysis of spee h signals for asr, IDIAP-RR 19, IDIAP, 2005.[85℄ V. Tyagi, H. Bourlard, and C. Wellekens, On variable-s ale pie ewise stationary spe tralanalysis of spee h signals for asr, IDIAP-RR 09, Eure om, IDIAP, EPFL, 2005.[86℄ D. Vandromme, Harmoni plus noise model for on atenative spee h synthesis, IDIAP-RR 37,IDIAP, 2005.[87℄ J. Vepa and S. King, Subje tive evaluation of join ost fun tions used in unit sele tion spee hsynthesis, IDIAP-RR 26, IDIAP, 2004.[88℄ J. Vepa and S. King, Subje tive evaluation of join ost and smoothing methods for unit sele tionspee h synthesis, IDIAP-RR 34, IDIAP, 2005.[89℄ A. Vin iarelli, So iometry based multiparty audio re ordings segmentation, IDIAP-RR 78,IDIAP, 2005.[90℄ P. Wellner, M. Flynn, and M. Guillemot, Browsing re orded meetings with ferret, IDIAP-RR 32, IDIAP, 2004.[91℄ P. Wellner, M. Flynn, S. Tu ker, and S. Whittaker, A meeting browser evaluation test,IDIAP-RR 53, IDIAP, 2004.[92℄ D. Zhang, D. Gati a-Perez, S. Bengio, I. M Cowan, and G. Lathoud, Modeling Indi-vidual and Group A tions in Meetings With Layered HMMs, IDIAP-RR 33, IDIAP, Martigny,Switzerland, 2004.

28 IDIAP�Com 2006-01[93℄ D. Zhang, D. Gati a-Perez, D. Roy, and S. Bengio, Modeling Intera tions from EmailCommuni ation, IDIAP-RR 51, IDIAP, Martigny, Switzerland, 2005.4.4 IDIAP Communi ations[1℄ S. O. Ba and J. M. Odobez, A video database for head pose tra king evaluation, IDIAP-COM 04, IDIAP, Martigny, Switzerland, 2005.[2℄ F. Formaz and N. Crettol, The idiap multimedia �le server, IDIAP-Com 05, IDIAP, 2004.[3℄ M. Guillemot and B. Crettol, From meeting re ordings to web distribution: Des ription ofthe pro ess, IDIAP-Com 05, IDIAP, 2005.[4℄ G. Heus h, F. Cardinaux, and S. Mar el, Lighting normalization algorithms for fa e veri-� ation, IDIAP-COM 03, IDIAP, 2005.[5℄ IDIAP, A tivity report 2003, IDIAP-COM 01, IDIAP, 2004.[6℄ IDIAP, A tivity report 2004, IDIAP-COM 01, IDIAP, 2005.[7℄ J. Kowal zyk, Une appli ation de re onnaissan e du lo uteur :le user- ustomized password speaker veri� ation, IDIAP-COM 04, IDIAP, 2004.[8℄ J. Tiphaigne and S. Mar el, A video pa kage for tor h, IDIAP-COM 02, IDIAP, 2004.4.5 Other Do uments[1℄ J. Ajmera, I. M Cowan, and H. Bourlard, Robust Audio Segmentation, PhD thesis, É olePolyte hnique Fédérale de Lausanne, Lausanne, Switzerland, June 2004.[2℄ M. Barnard, Multimedia event modelling and re ognition, PhD thesis, É ole Polyte hniqueFédérale de Lausanne, Lausanne, Switzerland, 2005.[3℄ M. F. BenZeghiba, Joint Spee h and Speaker Re ognition, PhD thesis, É ole Polyte hniqueFédérale de Lausanne, Computer S ien e Department, Lausanne, Switzerland, 2005.[4℄ R. Collobert, Large S ale Ma hine Learning, PhD thesis, Université de Paris VI, 2004.[5℄ M. M. Doss, Using Auxiliary Sour es of Knowledge for Automati Spee h Re ognition, PhDthesis, É ole Polyte hnique Fédérale de Lausanne, Computer S ien e Department, Lausanne,Switzerland, 2005.[6℄ Fabien Cardinaux, Fa e Authenti ation Based on Lo al Features and Generative Models, PhDthesis, É ole Polyte hnique Fédérale de Lausanne, Lausanne, Switzerland, 2005.[7℄ S. Ikbal, Nonlinear Feature Transformations for Noise Robust Spee h Re ognition, PhD thesis,E ole Polyte hnique Fédérale de Lausanne, Lausanne, Switzerland, June 2004.