Publications

Web pages with papers, by decreasing order of maintenance:

Monographs (5)

  1. François Pachet, Histoire de ma musique, Buchet-Chastel, to appear, 2018.
  2. François Pachet, Pierre Roy, Alexandre Papadopoulos, Constrained Markov Sequence Generation, Applications to Music and Text, Computational Synthesis and Creative Systems series, Springer, 2018
  3. Jean-Pierre Briot, Gaëtan Hadjeres, François Pachet, Deep Learning Techniques for Music Generation, Computational Synthesis and Creative Systems series, Springer 2018
  4. Victoria Rowe, Angeliki Triantafyllaki, François Pachet, Children’s Creative Music Making: Adventures with Reflexive Interactive Technology. Routledge, 2016, ISBN-13: 978-1138931084, ISBN-10: 113893108X
  5. Pachet, F. Comment je n’ai pas rencontré Paul McCartney, www.publie.net, 2008

Edited books (7)

  1. François Pachet, Amilcar Cardoso, Vincent Corruble, Fiammetta Ghedini, Proceedings of the Seventh International Conference on Computational Creativity (ICCC 2016). Paris, France, June 2016 Sony CSL Paris, France. ISBN 9782746691551
  2. Degli Esposti, M., Altmann, E. and Pachet, F. Creativity and Universality in Language, Morphogenesis series, Springer, 2016 ISBN: 978-3319244013
  3. Pachet, F and Briot, J.-P. Du signal au signe musical. Hermès, 2004
  4. Chemillier, M. and Pachet, F. Recherches et applications en informatique musicale, Collection Informatique Musicale, Hermès, 1998
  5. François Pachet et Hafdh Mili, L’Objet, 3(4):379–391, décembre 1997. ISSN: 1262-1137, Numéro spécial sur Smalltalk, Hermès, Lavoisier.
  6. Pachet, F. Brown, F. Mouton, R. Actes des Deuxièmes journées d’Informatique Musicale. Rapport LAFORIA n. 95/13, April 1995.
  7. Pachet, F. Proceedings of the OOPSLA’94 workshop on EOOPS (Embedded Object-Oriented Production Systems), rapport LAFORIA n. 94/24, décembre 1994.

Book chapters (22) 

  1. Pachet, F. Roy, P. Do Jazz Improvizers Really Interact? The Score Effect in Collective Jazz Improvization. In Micheline Lesaffre, Pieter-­Jan Maes and Marc Leman, eds., editor, Routledge Companion to Embodied Music Interaction, Routledge, 2017
  2. Papadopoulos, A., Pachet, F. and Roy, P. Generating non-plagiaristic Markov sequences with max order Sampling. In Degli Esposti, M. and Altmann, E. and Pachet, F., editor, Creativity and Universality in Language, Springer, 2016
  3. Daniel Martín, François Pachet and Benjamin Frantz, The creative process in lead sheet composition. In Lubart, T. ed, editor, The Creative Process: Perspectives from multiple domains, Palgrave Macmillan, 2016
  4. Ghedini, F., Pachet, F. and Roy, P. Creating Music and Texts with Flow Machines. In Corazza, G.E., and Agnoli, S., editor, Multidisciplinary Contributions to the Science of Creative Thinking (Creativity in the Twenty First Century), Springer, September 2015
  5. Martín, D., Frantz, B. and Pachet, F. Improving music composition through peer feedback: experiment and preliminary results. In Luc Steels, editor, Music Learning with Massive Open Online Courses (MOOCs), pages 195-204, Ios Press. November 2015
  6. Ramona, M, Pachet, F. and Gorlow, S. Giant Steps in Jazz Practice with Social Virtual Band. In Luc Steels, editor, Music Learning with Massive Open Online Courses (MOOCs), pages 101-118, Ios Press, November 2015
  7. Pachet, F. Musical Virtuosity and Creativity. In McCormack, J and d’Inverno, M, editor, Computers and Creativity, Springer, 2012
  8. Pachet, F. Hit Song Science. In Tao, Tzanetakis & Ogihara, editor, Music Data Mining, pages 305-326, Chapman & Hall / CRC Press. 2011
  9. Pachet, F. The Future of Content is in Ourselves. In M. Tokoro, editor, Open System Science, pages 133-158, IOS Press. 2010
  10. Pachet, F. Energy, a Cultural Good. In Wynants, M. and Engelen, S., editor, We Can Change the Weather, 100 Cases of Changeability, Crosstalks. 2010
  11. Pachet, F. Des machines à sortir de soi. In Bernard Stiegler, editor, Le design de nos existences à l’époque de l’innovation ascendante, pages 229-251, Mille et une nuits, Fayard. 2008
  12. Pachet, F. Creativity Studies and Musical Interaction. In Deliège, I. and Wiggins, G., editor, Musical Creativity: Multidisciplinary Research in Theory And Practice, Psychology Press. 2006
  13. Pachet, F. Enhancing Individual Creativity with Interactive Musical Reflective Systems. In Deliège, I. and Wiggins, G., editor, Musical Creativity: Multidisciplinary Research in Theory And Practice, Psychology Press. 2006
  14. Pachet, F. Les clefs d’une mélodie intéressante. La Naissance de l’Art, pages 193-201, Tallendier, 2006
  15. Pachet, F. Knowledge Management and Musical Metadata. In Schwartz, D., editor, Encyclopedia of Knowledge Management, Idea Group. 2005
  16. Pachet, F. On the Design of Flow Machines. In Tokoro, M. and Steels, L, editor, A Learning Zone of One’s Own, The Future of Learning, IOS Press. Amsterdam, 2004
  17. Pachet, F. and Roy, P. Harmonisation Automatique et Programmation par Contraintes. Du Signal au Signe Musical, Hermes, 2004
  18. Pachet, F. Computer Analysis of Jazz Chord Sequences. Is Solar a Blues?. In Miranda, E., editor, Readings in Music and Artificial Intelligence, Harwood Academic Publishers, 2000
  19. Pachet, F. Active Listening: What is in the Air?.In Miranda, E., editor, Musica y Nuevas Tecnologias: Perspectivas para el Siglo XXI, L’Angelot. 1999
  20. Pachet, F. Objets et Musique. In R. Ducournau et al., editor, Langages et modèles à objets, Etat et perspectives de la recherche, Collection Didactique (vol. 19), pages 383-396, INRIA, 1998
  21. Roy, P., Liret, A. and Pachet, F. A Framework for Object-Oriented Constraint Satisfaction Problems. In Fayad, M. and Schmidt, D. and Johnson, R., editor, Implementing Application Frameworks : Object-Oriented Frameworks at Work, pages 369-402, John Wiley & Sons. 1997
  22. Mili, H. and Pachet, F. Regularity, document generation and Cyc. In R. Rada and K. Tochtermann, editor, ExpertMedia – Expert Systems and Hypermedia, pages 171-206, World Scientific Publishing. 1995

Important Journals (50) 

  1. Sakellariou, J., Tria, F., Loreto, V. and Pachet, F. Maximum entropy models capture melodic styles. Scientific Reports, 7(9172), August 2017
  2. Pachet, F. A Joyful Ode to Automatic Orchestration. ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Music Systems and Applications, 8(2), October 2016, Article 18 (invited contribution)
  3. Armen Khatchatourov, François Pachet, Victoria Rowe Action Identity in Style Simulation Systems: Do Players Consider Machine-generated Music as of Their Own Style?. Frontiers in Psychology, 7(474), 2016
  4. Deruty, E., Roy, P. and Pachet, F. Human-Made Rock Mixes Feature Tight Relations Between Spectrum And Loudness. Journal of the Audio Engineering Society, 62(10):643-653, October 2014
  5. Hedges, T., Roy, P. and Pachet, F. Predicting the Composer and Style of Jazz Chord Progressions. Journal of New Music Research, Special issue on Music and Machine Learning, 43(3):276-290, 2014
  6. Pachet, F. and Roy, P. Markov constraints: steerable generation of Markov sequences. Constraints, 16(2):148-172, March 2011
  7. Giret, N., Roy, P., Albert, A., Pachet, F., Kreutzer, M. and Bovet, D. Finding Good Acoustic Features for Parrot Vocalizations: the Feature Generation Approach. Journal of the Acoustical Society of America, 129(2):1089-1099, February 2011
  8. Lerch, A., Roy, P., Pachet, F. and Nagle, L. Closed-loop bird-computer interactions: A new method to study the role of bird callings. Animal Cognition, 14(2):203-211, March 2011
  9. Pachet, F. and Roy, P Analytical Features: a Knowledge-Based Approach to Audio Feature Generation. EURASIP Journal on Audio, Speech, and Music Processing, 2009(1), February 2009
  10. Pachet, F. and Roy, P. Improving Multi-Label Analysis of Music Titles: a Large Scale Validation of the Correction Approach. IEEE Transactions on Audio, Speech, and Language Processing, 17(2):335-343, 2009
  11. Pachet, F. Description-Based Design of Melodies. Computer Music Journal, 33(4):56-68, Winter 2009
  12. Aucouturier, J.-J. and Pachet, F. A scale-free distribution of false positives for a large class of audio similarity measures. Pattern Recognition, 41(1):272-284, 2008
  13. Molnár, Csaba, Kaplan, Frédéric, Roy, Pierre, Pachet, Francois, Pongrácz, Péter, Dóka, Antal and Miklósi, Ádám Classification of dog barks: a machine learning approach. Animal Cognition, 11(3):389-400, 2008
  14. Pachet, F The future of content is in ourselves. ACM Journal of Computers in Entertainment, 6(3), 2008
  15. Aucouturier, J.-J and Pachet, F. The influence of polyphony on the dynamical modelling of musical timbre.Pattern Recognition Letters, 28(5):654-661, 2007
  16. Aucouturier, J.-J, Defreville, B., Pachet, F. The bag-of-frame approach to audio pattern recognition: A sufficient model for urban soundscapes but not for polyphonic music. Journal of the Acoustical Society of America, 122(2):881-891, 2007
  17. Pachet, F., Aucouturier, J.-J., La Burthe, A., Zils, A. and Beurive, A. The Cuidado Music Browser : an end-to-end Electronic Music Distribution System. Multimedia Tools and Applications, 30(3):331-349, 2006 Special Issue on the CBMI03 Conference
  18. Aucouturier; J.-J., Pachet, F. and Sandler, M. The Way It Sounds : Timbre Models For Analysis and Retrieval of Polyphonic Music Signals. IEEE Transactions of Multimedia, 7(6):1028-1035, December 2005
  19. Pachet, François, La Burthe, Amaury, Aucouturier, Jean-Julien and Beurivé, Anthony Editorial Metadata in Electronic Music Distribution Systems: Between Universalism and Isolationism. Journal of New Music Research, 34(2):173-184, June 2005
  20. Aucouturier, J.-J. and Pachet, F. Jamming With Plunderphonics: Interactive Concatenative Synthesis of Music. Journal of New Music Research, 35(1):35-50, March 2005
  21. Addessi, A.-R. and Pachet, F. Experiments with a Musical Machine: Musical Style Replication in 3/5 year old Children. British Journal of Music Education, 22(1):21-46, March 2005
  22. Addessi, A.-R. and Pachet, F Young children confronting the Continuator, an interactive reflective musical system.Musicae Scientiae, pages 19-39, 2005
  23. Pachet, F. Laburthe, A., Zils, A., Aucouturier, J.-J. Popular Music Access: The Sony Music Browser. Journal of the American Society for Information Science, 55(12):1037 – 1044, 2004
  24. Aucouturier, J.-J. and Pachet F. Improving Timbre Similarity: How high is the sky?. Journal of Negative Results in Speech and Audio Sciences, 1(1), 2004
  25. Pachet, F., Addessi, Anna-Rita When Children Reflect on Their Playing Style: The Continuator. ACM Computers in Entertainment, 1(2), 2004
  26. Pachet, Francois Beyond the Cybernetic Jam fantasy: The Continuator. IEEE Computers Graphics and Applications, 4(1):31-35, January/February 2004 special issue on Emerging Technologies
  27. Pachet, F. Les nouveaux enjeux de la réification. L’ Objet, 10(4), 2004
  28. Pachet, F. Noms de Fichiers: Le Nom. In Maison des Sciences de l’Homme, editor, STP (Du Sujet: Théorie et Praxis), vol. 6, 2003, Maison des Sciences de l’Homme
  29. Pachet, Francois The Continuator: Musical Interaction with Style. Journal of New Music Research, 32(3):333-341, 2003
  30. Aucouturier, J.J and Pachet, F. Representing Musical Genre: A State of the Art. Journal of New Music Research, 32(1):83-93, 2003
  31. Pachet, F. Content Management for Electronic Music Distribution: The Real Issues. Communications of the ACM, 46(4):71-75, April 2003
  32. Pachet, F. Playing with Virtual Musicians: the Continuator in practice, IEEE Multimedia, 9(3):77-82, 2002
  33. Pachet, F. and Roy, P. Musical harmonization with constraints: A survey. Constraints, 6(1):7-19, 2001
  34. Pachet, F., and Codognet, P. Introduction to the Special Issue on Constraints for Multimedia Artistic Applications. Constraints, 6(1):5-6, 2001
  35. Pachet, F., Roy, P. and Cazaly, D. A Combinatorial Approach to Content-Based Music Selection. IEEE Multimedia, 7(1):44-51, March 2000
  36. Roy, P., Liret, A. and Pachet, F. The Framework Approach for Constraint Satisfaction. ACM Computing Surveys, 32(1es), 2000
  37. Pachet, F., Roy, P. and Cazaly. D. A Combinatorial approach to Content-based Music Selection. Proceedings of IEEE Multimedia Computing and Systems International Conference 1999, pages 457-462, Firenze, Italy, 1999
  38. Roy, Pierre and Pachet, François Reifying Constraint Satisfaction in Smalltalk. Journal of Object-Oriented Programming, 10(4):43-51, July/August 1997
  39. Dojat M, Pachet F, Guessoum Z, Touchard D, Harf A and Brochard L. NeoGanesh: A working system for the automated control of assisted ventilation in ICUs. Artificial Intelligence in Medicine, 11:97-117, 1997
  40. Paquette, G., Pachet, F., Giroux, S. and Girard, J. EpiTalk, Generating advisor agents for existing information systems. Artificial Intelligence in Education, 7(3-4):349-379, 1997
  41. Pachet, F. Djamen, J.-Y, Frasson, C. and Kaltenbach, M. Un mécanisme de production de conseils exploitant les relations de composition et de précédence dans un arbre de tâches. Sciences et Techniques Educatives, 3(1):43-75, 1996
  42. Rolland, P.-Y. and Pachet, F. A framework for representing knowledge about synthesizer programming. Computer Music Journal, 20(3):47-58, Fall 1996
  43. Pachet, F. Ramalho, G. and Carrive, J. Representing Temporal Musical Objects and Reasoning in the MusES System. Journal of New Music Research, 25(3):252-275, 1996
  44. Pachet, F. On the embeddability of production rules in object-oriented languages. Journal of Object-Oriented Programming, 8(4):19-24, 1995
  45. Dojat, M. and Pachet, F. Effective domain-dependent reuse in medical knowledge bases.Computers and Biomedical Research, 28:403-432, 1995
  46. Mili, H. and Pachet, F. Régularité, Génération de documents et Cyc. Revue d’intelligence Artificielle, 9(2):139-164, 1995
  47. Giroux, S., Pachet, F., Paquette, G. and Girard, J. Des systèmes conseillers épiphytes. Revue d’Intelligence Artificielle, 9(2):165-190, 1995
  48. Paquette G., Pachet F. and Giroux S. EpiTalk : un outil générique pour la construction de systèmes conseillers. Revue Sciences et Techniques Educatives, 1(3):305-336, 1994
  49. Dojat, M. Pachet, F. NéoGanesh, un système extensible à base de connaissances pour la ventilation artificielle des patients. Innovation et Technologie en Biologie et Médecine, vol. 14, pp. 267-279, 1992.
  50. Borne, I. Pachet, F. From Object-Oriented Design to Visual Programming. European Journal of Engineering and Education, Vol. 17, n. 2, 1992, pp. 195-201.

Important conferences (41)

  1. Hadjeres, G., Pachet, F. and Nielsen, F. DeepBach: a Steerable Model for Bach Chorales Generation. In Doina Precup and Yee Whye Teh, editor, Proceedings of the 34th International Conference on Machine Learning (ICML), Proceedings of Machine Learning Research (vol. 70), pages 1362-1371, International Convention Centre, Sydney, Australia, August 2017 PMLR.
  2. Pachet, F., Papadopoulos, A. and Roy, P. Sampling Variations of Sequences for Structured Music Generation. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 23-27, Suzhou, China, October 2017.
  3. Roy, P., Perez, G., Jean-Charles Régin, Papadopoulos, A., Pachet, F. and Marchini, M. Enforcing Structure on Temporal Sequences: the Allen Constraint. Proceedings of the 22nd International Conference on Principles and Practice of Constraint Programming – CP, Toulouse, France, September 2016, Springer.
  4. Papadopoulos, A., Roy, P. and Pachet, F. Assisted Lead Sheet Composition using FlowComposer. Proceedings of the 22nd International Conference on Principles and Practice of Constraint Programming – CP, Toulouse, France, September 2016
  5. Pachet, F., Roy, P., Papadopoulos, A. and Sakellariou, J. Generating 1/f Noise Sequences as Constraint Satisfaction: the Voss Constraint. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires (Argentina), July 2015
  6. Papadopoulos, A., Roy, P., Régin, J.-C. and Pachet, F. Generating all Possible Palindromes from Ngram Corpora. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires (Argentina), July 2015
  7. Papadopoulos, A., Pachet, F., Roy, P. and Sakellariou, J. Exact Sampling for Regular and Markov Constraints with Belief Propagation. 21th Principles and Practice of Constraint Programming Conference (CP 2015), Cork (Ireland), 2015
  8. Deruty, E. and Pachet, F. The Mir Perspective On The Evolution Of Dynamics In Mainstream Music. Proceedings of the International Conference on Music Information Retrieval (ISMIR), Malaga (Spain), October 2015
  9. Papadopoulos, A., Roy, P. and Pachet, F. Avoiding Plagiarism in Markov Sequence Generation. 28th Conference on Artificial Intelligence (AAAI 2014), pages 2731-2737, Quebec (Canada), July 2014
  10. Pachet, F. and Roy, P. Imitative Leadsheet Generation with User Constraints. 21st European Conference on Artificial Intelligence (ECAI 2014), pages 1077-1078, Prague (Czech Republic), August 2014
  11. Pachet, F., Roy, P., Moreira, J. and d’Inverno, M. Reflexive Loopers for Solo Musical Improvization. SIGCHI ACM Conference on Human Factors in Computing Systems, CHI ’13, pages 2205-2208, Paris (France), 2013 ACM. Best paper honorable mention award
  12. Roy, P. and Pachet, F. Enforcing Meter in Finite-Length Markov Sequences. 27th Conference on Artificial Intelligence (AAAI 2013), Bellevue, Washington (USA), June 2013
  13. Pachet, F., Suzda, J. and Martín, D. A Comprehensive Online Database of Machine-Readable Lead Sheets for Jazz Standards. 14th International Society for Music Information Retrieval Conference (ISMIR 2013), pages 275-280, Curitiba (Brazil), November 2013
  14. Moreira, J., Roy, P. and Pachet, F. VirtualBand: Interacting with Stylistically Consistent Agents. 14th International Society for Music Information Retrieval Conference (ISMIR 2013), pages 341-346, Curitiba (Brazil), November 2013
  15. Barbieri, G., Pachet, F., Roy, P. Degli Esposti, M. Markov Constraints for Generating Lyrics with Style. In Luc De Raedt et al., editor, Proceedings of the 20th European Conference on Artificial Intelligence (ECAI 2012), pages 115-120, 2012
  16. Pachet, F., Roy, P. and Barbieri, G. Finite-Length Markov Processes with Constraints. Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), pages 635-642, Barcelona, Spain, July 2011
  17. Barbieri, G. Pachet, F. Degli Esposti, M. and Roy, P Is there a relation between the syntax and the fitness of an audio feature?. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 321-326, Utrecht, 2010
  18. Rabbat, P. and Pachet, F Direct and Inverse Inference in Music Databases: How to Make a Song Funk?. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 589-594, Philadelphia, USA, 2008
  19. Pachet, F. and Roy, P. Hit Song Science is Not Yet a Science. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 355-360, Philadelphia, USA, 2008
  20. Roy, P., Pachet, F. and Krakowski, S. Improving the Classification of Percussive Sounds with Analytical Features: a Case Study. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 229-232, Vienna, Austria, 2007
  21. Aucouturier, J.-J., Pachet, F., Roy, P. and Beurivé, A. Signal + Context = Better Classification. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 425-430, Vienna, Austria, 2007
  22. Defréville, B. Roy, P., Rosin, C. and Pachet, F. Automatic Recognition of Urban Sound Sources. Proceedings of the 120th AES Conference, Paris, France, 2006
  23. Monceaux Jérôme; Pachet, François; Amadu, Frédéric; Roy, Pierre and Aymeric Zils, Descriptor-based spatialization. Proceedings of AES Conference 2005, Barcelona, Spain, 2005
  24. Aucouturier, J.-J. and Pachet, F. Ringomatic: A Real-Time Interactive Drummer Using Constraint-Satisfaction and Drum Sound Descriptors. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 412-419, September 2005 London
  25. Roy, P., Aucouturier, J.-J., Pachet, F. and Beurive, A. Exploiting the Tradeoff Between Precision and Cpu-time to Speed Up Nearest Neighbor Search. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 230-237, September 2005, London, UK
  26. Giordano Cabral, François Pachet, and Jean-Pierre Briot. Automatic X traditional descriptor extraction: The case of chord recognition. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 444-449, London, U.K., September 2005
  27. Zils, A. and Pachet, F. Automatic Extraction of Music Descriptors from Acoustic Signals using EDS. Proceedings of the 116th AES Convention, Berlin, Germany, May 2004
  28. Aucouturier, J.-J. and Pachet, F. Tools and Architecture for the Evaluation of Similarity Measures : Case Study of Timbre Similarity. In University Pompeu Fabra, editor, Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 198-203, Barcelona, Spain, 2004
  29. Aucouturier, J.-J., Pachet, F. and Hanappe, P. From Sound Sampling To Song Sampling. Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 1-8, Barcelona, Spain, 2004 University Pompeu Fabra
  30. Pachet, F. and Zils, A. Automatic Extraction of Music Descriptors from Acoustic Signals. In X. Serra, editor, Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 353-356, Barcelona, Spain, 2004 University Pompeu Fabra
  31. Pachet, F. Music Interaction With Style. in SIGGRAPH 2003 Conference Abstracts and Applications, San Diego, USA, August 2003 ACM Press.
  32. Vinet, Hugues, Herrera, Perfecto and Pachet, Francois The Cuidado Project. In Ircam, editor, Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 197-203,Paris, France, October 2002 Ircam.
  33. Aucouturier, Jean-Julien and Pachet, Francois Music Similarity Measures: What’s the Use?. In Ircam, editor, Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 157-163, Paris, France, October 2002
  34. Aucouturier, J.J. and Pachet, F. Scaling up Music Playlist Generation. Proceedings of IEEE International Conference on Multimedia and Expo (ICME), vol. 1, pages 105-108, August 2002 Lausanne, Switzerland
  35. Pachet, Francois The Continuator: Musical Interaction with Style. In ICMA, editor, Proceedings of ICMC, pages 211-218, Göteborg, Sweden, September 2002, ICMA, best paper award
  36. Pachet, F. and Laigre, D. A Naturalist Approach to Music File Name Analysis. In University of Indiana, editor, Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 51-58, Indiana, USA, 2001
  37. Pachet, F. and Delerue, O. On-The-Fly Multi-Track Mixing. Proceedings of AES 109th Convention, Los Angeles, USA, 2000 AES.
  38. Carrive, J., Roy, P., Pachet, F. and Ronfard, R. A Language for Audiovisual Template Specification and Recognition. In Springer Verlag LNCS, editor, Proceedings of Sixth International Conference on Principles and Practice of Constraint Programming, vol. 1894, pages 128 ff, 2000
  39. Pachet, F. and Roy, P. Automatic Generation of Music Programs. Proceedings of Constraint Programming Conference, CP 99, LNCS 1713/2004, pages 331-345, Washington, VA, 1999, Springer Verlag.
  40. Pachet, F. and Delerue, O. MidiSpace: a Constraint-based Temporal Music Spatializer. ACM Multimedia Conference, pages 351-359, Bristol, UK, 1998
  41. Pachet, F. and Perrot, J.-F. Rule Firing with Metarules. In Knowledge Systems Institute, editor, Proceedings of Software Engineering and Knowledge Engineering, SEKE 94, pages 322-329, Jurmala, Latvia, 1994

Arxiv (9)

  1. Jean-Pierre Briot, Gaëtan Hadjeres, François Pachet, Deep Learning Techniques for Music Generation, a Survey, arXiv:1709.01620,
  2. Roy, P., Papadopoulos, A. and Pachet, F. Sampling Variations of Lead Sheets. arXiv:1703.00760, March 2017, 16 pages, 11 figures
  3. Marchini, M., Pachet, F. and Carré, B. Rethinking Reflexive Looper for structured pop music. The International Conference on New Interfaces for Musical Expression, 2017
  4. Hadjeres, G and Pachet, F. DeepBach: a Steerable Model for Bach chorales generation. arXiv:1612.01010, December 2016 https://arxiv.org/abs/1612.01010
  5. Gorlow, S., Ramona, M. and Pachet F. Decision-Based Transcription of Jazz Guitar Solos Using a Harmonic Bident Analysis Filter Bank & Spectral Distribution Weighting. arXiv:1611.06505, November 2016 https://arxiv.org/abs/1611.06505 Audio Files: https://doi.org/10.5281/zenodo.167567
  6. Gorlow, S., Ramona, M. and Pachet F. SISO and SIMO Accompaniment Cancellation for Live Solo Recordings Based on Short-Time ERB-Band Wiener Filtering & Spectral Subtraction. arXiv:1611.08905, November 2016 https://arxiv.org/abs/1611.08905
  7. Hadjeres, G., Sakellariou, J. and Pachet F. Style Imitation and Chord Invention in Polyphonic Music with Exponential Families. arXiv:1609.05152, September 2016 http://arxiv.org/abs/1609.05152
  8. Sakellariou, J., Tria, F., Loreto, V. and Pachet, F. Maximum entropy models capture melodic styles. arXiv:1610.03414, October 2016 https://arxiv.org/abs/1610.03414
  9. Moulieras, S. and Pachet, F. Maximum entropy models for generation of expressive music. arXiv:1610.03606, October 2016 https://arxiv.org/abs/1610.03606

Other (136: conferences, workshops, etc.)

  1. Rivaud, S., Pachet, F. and Roy, P. Sampling Markov Models under Binary Equality Constraints is Hard. Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Clermont-Ferrand, France, June 2016
  2. Colton, S., Llano, M. T., Hepworth, R., Charnley, J., Gale, C. V., Baron, A., Pachet, F., Roy, P., Gervas, P., Collins, N., Sturm, B., Weyde, T., Wolff, D. and Lloyd, J. The Beyond The Fence Musical and Computer Says Show Documentary. 7th International Conference on Computational Creativity (ICCC 2016), Paris (France), June 2016
  3. Martín, D., Neullas, T. and Pachet, F. LeadsheetJS: A Javascript Library for Online Lead Sheet Editing. 1st International Conference on Technologies for Music Notation and Representation (TENOR 2015), Paris (France), May 2015
  4. Martín, D., Frantz, B. and Pachet, F. Improving music composition through peer feedback: experiment and preliminary results. Workshop AI and Feedback, 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 2015
  5. Ghedini, F., Frantz, B., Pachet, F. and Roy, P. The Comic Strip Game: observing the impact of implicit feedback in the content creation process. Workshop AI and Feedback, 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires (Argentina), July 2015
  6. Pachet, F. and Roy, P. (Manufac) Turing Tests for Music. Proceedings of the 29th Conference on Artificial Intelligence (AAAI 2015), Workshop on “Beyond the Turing Test, Austin, Texas (USA),January 2015
  7. Sakellariou, J., Tria, F., Loreto, V. and Pachet, F. Maximum Entropy Model for Melodic Patterns. ICML Workshop on Constructive Machine Learning, Paris (France), July 2015
  8. Ramona, M., Cabral, G. and Pachet, F. Capturing a Musician’s Groove: Generation of Realistic Accompaniments from Single Song Recordings. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), pages 4140-4142, Buenos Aires (Argentina), July 2015
  9. Ghedini, F., Pachet, F. and Roy, P. Max Order: A Tale of Creativity. 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), pages 4136-4137, Buenos Aires (Argentina), July 2015
  10. Pachet, F. Flow­Machines: CP techniques to model style in music and text. Association for Constraint Programming, CP Success Stories, September 2015
  11. Pachet, F. and Roy, P. Non-Conformant Harmonization: the Real Book in the Style of Take 6. 5th International Conference on Computational Creativity (ICCC 2014), pages 100-107, Ljubljiana (Slovenia), June 2014
  12. Foulon, R., Roy, P. and Pachet, F. Sound, Music and Motion: 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers. In Aramaki, Mitsuko and Derrien, Olivie and Kronland-Martinet, Richard and Ystad, Sølvi, editor, pages 58-71,Springer International Publishing. Cham, 2014 isbn: 978-3-319-12976-1, doi:10.1007/978-3-319-12976-1_4
  13. Khatchatourov, A. and Pachet, F. MIROR IMPRO and COMPO Software: the User Guide. Sony Computer Science Laboratory Paris, Paris (France), July 2013
  14. Fober, D. and Pachet, F. The JGuido Library: Java API. Sony Computer Science Laboratory Paris, Paris (France), July 2013
  15. Fober, D., Kilian, J.F. and Pachet, F. The JGuido Library: Real-Time Score Notation from Raw MIDI Inputs. Sony Computer Science Laboratory Paris, Paris (France), July 2013
  16. Pachet, F., Roy, P. and Ghedini, F. Creativity through Style Manipulation: the Flow Machines project. Marconi Institute for Creativity Conference (MIC 2013), vol. 80, Bologna (Italy), September 2013
  17. Foulon, R., Roy, P. and Pachet, F. Automatic Classification of Guitar Playing Modes.10th International Symposium on Computer Music Multidisciplinary Research (CMMR 2013), pages 64-77, Marseille (France), October 2013
  18. Pachet, F. Créativité individuelle et style : Le projet Flow-Machines. Bulletin de l’AFIA N. 78, pages 40-43, October 2012
  19. Eunika Mercier-Laurent et François Pachet, Dossier Créativité et Innovation, bulletin de l’AFIA numéro 78, 2012
  20. Jones, D, Bown, O., McCormack, J., Pachet, F., Young, M., Berry, R., Asaf, I. and Porter, B. Stimulating creative flow through computational feedback. In Margaret Boden and Mark d’Inverno and Jon McCormack, editor, Computational Creativity: An Interdisciplinary Approach, Dagstuhl Seminar Proceedings (no. 09291), 2009 Schloss Dagstuhl – Leibniz-Zentrum fuer Informatik, Germany.
  21. Krakowski, S. Velho, S. and Pachet, F. Pandeiro Funk: Experiments on Rhythm-Based Interaction. Poster at SIGGRAPH 2009 Conference Abstract and Applications, August 2009
  22. Benghi, D., Addessi, A.-R. and Pachet, F. Teaching to Improvise with the Continuator. Proceedings of the 28th International Society for Music Education World Conference, Bologna, Italy, 2008
  23. Al Ain, S., Giret, N., Roy, P., Pachet, F., Kreutzer, M. and Bovet, D. Different Acoustic Analysis Methods Yield Different Results. Vocal communication in birds and Mammals, St Andrews, Scotland, July 2008
  24. Addessi, A.R. Degli Esposti, M. Pachet, F. Musical style again: A mathematical analysis of musical intertext, in: CIM08. 4th Conference on Interdisciplinary Musicology. Musical Structure, Thessaloniki, Department of Music Studies, Aristotle University, 2008 (atti di: CIM08- 4th Conference on Interdisciplinary Musicology. Musical Structure, Thessaloniki, 2-6 luglio 2008)
  25. Pachet, F. and Roy, P. Exploring billions of audio features. In Eurasip, editor, Proceedings of CBMI 07, pages 227-235, Bordeaux, France, 2007
  26. Viaud-Delmon, I., Bresson, J., Pachet, F., Bevilacqua, F., Roy, P., Pachet, F. EarToy: Interactions ludiques par l’audition. Actes des Jim 07, Lyon, France, 2007
  27. Roy, P., Pachet, F., Krakowski, S. De l’intérêt des features analytiques : une étude pour la classification des sons de pandeiro. Actes des Jim 07, Lyon, France, 2007
  28. Roy, P., Pachet, F. and Krakowski, S. Analytical Features for the Classification of Percussive Sounds: The Case of the Pandeiro. Proceedings of DaFx 07, pp. 213-220, Bordeaux, France, 2007
  29. Cabral, G., Briot, J.-P., Krakowski, S., Velho, L., Pachet, F. and Roy, P. Some Case Studies in Automatic Descriptor Extraction. Proceedings of SBCM 2007, Sao Paulo, Brazil, 2007
  30. Addessi, A.-R. and Pachet, F Sistemas musicais interativos-reflexivos para a educação musical. Cognition and Musical Arts, 2(1):62-72, 2007
  31. Addessi, A.-R., Ferrari, L., Pachet, F. Touched by Musical Discovery. Disciplinary and Cultural Perspectives. In Fröhlich, C., editor, Proceedings of ECME (Int. Seminar of Early Childhood Music Education), Taipei, Taiwan, 2006
  32. Pachet, F. Interactions réflexives. In Orlarey, Y., editor, Actes des rencontres musicales pluridiscipinaires, Lyon, France, 2006 Grame
  33. Ferrari, L. Addessi, A.-R. and Pachet F. New technologies for new music education: The Continuator in a classroom setting. In Baroni et al., editor, Proceedings of ICMPC 06, Bologna, Italy, 2006
  34. Cabral, G. Briot, J.-P., Pachet, F. Incremental Parsing for Real-Time Accompaniment Systems. The 19th International FLAIRS Conference, Special Track: Artificial Intelligence in Music and Art, Melbourne Beach, USA, 2006
  35. Addessi, A.-R., Ferrari, L. and Pachet, F. Without touch, without seeing. Children playing with a virtual musician. In C. Fröhlich, editor, Proceedings of ECME, International Seminar of Early Childhood Music Education, Taipei, Taiwan, July 2006
  36. Addessi, A.-R., Ferrari, L., Carlotti, S., Pachet, F. Young children musical experience with a flow machine. In Baroni et al., editor, Proceedings of the 9th International Conference of Music Perception and Cognition, Bologna, Italy, 2006 Bologna University Press.
  37. Giordano Cabral, François Pachet, and Jean-Pierre Briot. Recognizing chords with EDS: Part one. In R. Kronland-Martinet et al., editor, Proceedings of the 6th Computer Music Modeling and Retrieval (CMMR’2005), Lecture Notes in Computer Science (vol. 3902), pages 185-195, Pisa, Italy, September 2005 Springer.
  38. Cabral, G. Briot, J.-P., Pachet, F. Impact of distance in pitch class profile computation. Proceedings of the 10th Brazilian Symposium on Computer Music (SBCM’2005), Belo Horizonte, Brazil, 2005
  39. Cabral, G. Briot, J.-P., and Pachet, F. Parsing incremental para acompanhamento em tempo real. Proceedings of the 10th Brazilian Symposium on Computer Music (SBCM’2005), Belo Horizonte, Brazil, 2005
  40. Addessi, A.-R. and Pachet, F. Experiment with a musical machine. Proceedings of the Music Educators and Researchers of Young Children (MERYC) Conference, Exeter, UK, April 2005
  41. Addessi, A.-R., Pachet, F. Caterina, R. Children Confronting an Interactive Musical System. In S. Lipscomb, editor, Proceedings of ICMPC 04, Evanston, USA, August 2004
  42. Addessi, A.-R., Pachet, F. Children’s interaction with a Musical Machine. Proceedings of UCM (Understanding and Creating Music) 04, 2004 Seconda Universita di Napoli
  43. Addessi, A.-R., Pachet, F. Child Computer Interaction: Observations in Classroom Setting. In Parncutt, R., editor, Proceedings of Conference on Interdisciplinary Musicology (CIM 2004), Graz, Austria, April 2004
  44. Pachet, F. The HiFi of the Future: Toward new modes of Music-ing. In Perrot, X., editor, Proceedings of ICHIM 04, Berlin, Germany, 2004
  45. Ferrari, L. Carlotti, S. Addessi, A.-R. and Pachet, F. Suonare con il Continuator è un ésperienza ottimale ?. In M. Biasutti, editor, Proceedings of International Symposium on Psychology and Music Education, Padova, Italy, November 2004
  46. Pachet, F. and Zils, A. Evolving Automatically High-Level Music Descriptors From Acoustic Signals. Springer Verlag LNCS, 2771:42-53, 2003
  47. Pachet F., Zils A. Evolving Automatically High-Level Music Descriptors From Acoustic Signals. Sony CSL, 2003
  48. Zils, A. & Pachet, F. Extracting Automatically the Perceived Intensity of Music Titles. Proceedings of the 6th COST-G6 Conference on Digital Audio Effects (DAFX03), pages 180-183,London, U.K., September 2003 Queen Mary University
  49. Pachet, F. Laburthe, A., Aucouturier, J.-J. The Cuidado Music Browser: an end-to-end electronic music distribution system. In INRIA, editor, Proceedings of CBMI 03, pages 27-34, Rennes, France, 2003 IRISA.
  50. La Burthe, A., Pachet, F. and Aucouturier, JJ Editorial Metadata in the Cuidado Music Browser: Between Universalism and Autism. In Kia Ng. et al., editor, Proceedings of the WedelMusic 2003 Conference, pages 130-137, Leeds, U.K., September 2003
  51. Zils A., Pachet F., Delerue O., Gouyon F. Automatic Extraction of Drum Tracks from Polyphonic Music Signals. Proceedings of WedelMusic, Darmstadt, Germany, December 2002
  52. Pachet, Francois Interacting with a musical learning system: the continuator. In C. Anagnostopoulou, M. Ferrand, A. Smaill, editor, Music and Artificial Intelligence, Lecture Notes in Artificial Intelligence (vol. 2445), pages 119-132, Springer Verlag. September 2002
  53. Vinet, Hugues, Herrera, Perfecto, Pachet, Francois The Cuidado Project: New Applications Based on Audio and Music Content Description. In ICMA, editor, Proceedings of ICMC, pages 450-454, Göteborg, Sweden, September 2002 ICMA.
  54. Aucouturier, J.-J. and Pachet, F Finding songs that sound the same. Proceedings of IEEE Benelux Workshop on Model based Processing and Coding of Audio, November 2002, University of Leuven, Belgium, Invited Talk
  55. Zils, A. and Pachet, F Musical Mosaicing. Proceedings of the COST G-6 Conference on Digital Audio Effects (DaFx), pages 39-44, Limerick, U.K., December 2001, University of Limerick
  56. Pachet, F. Metadata for music and sounds: The Cuidado Project. Proceedings of the CBMI Workshop, pages 411-415, University of Brescia, September 2001
  57. Pachet, F., Westermann, G. and Laigre, D Musical Data Mining for Electronic Music Distribution. Proceedings of the 1st WedelMusic Conference, pp. 101-106, Firenze, Italy, 2001
  58. Pachet, F. Guitare électrique nouvelle génération. Proceedings of Journées d’informatique Musicale, Bourges, June 2001
  59. Pachet, F. and Cazaly, D. A Taxonomy of Musical Genre. In Centre des Hautes Etudes Internationales d’Informatique Documentaire – C.I.D, editor, Proceedings of Content-Based Multimedia Information Access (RIAO) Conference, vol. 2, pp. 1238-1246, Collège de France, Paris, 2000 Translation in Finnish at http://www.designcontest.com/show/sony-downloads-fi
  60. Gouyon, F., Delerue, O. and Pachet, F. Classifying percussive sounds: a matter of zero-crossing rate ?. Proceedings of DAFX 00, Verona, Italy, 2000
  61. Pachet, F. Les clefs d’une mélodie intéressante. La Recherche, 4, Hors-Série Les origines de l’Art, Novembre 2000
  62. Pachet, F., Delerue, O. and Hanappe, P. Dynamic Audio Mixing. In I. Zannos, editor, Proceedings of ICMC, pages 133-136, Berlin, 2000 ICMA.
  63. Pachet, F., Delerue, O. and Hanappe, P. MusicSpace goes Audio. In Roads, C., editor, Sound in Space, Santa Barbara, 2000, CREATE.
  64. Pachet, F. Rhythm as Emerging Structure. In I. Zannos, editor, Proceedings of ICMC, pages 316-319, Berlin, Germany, 2000 ICMA.
  65. Carrive, J., Pachet, F. and Ronfard, R. CLAViS – A Temporal Reasoning System for Classification of Audiovisual Sequences. Proceedings of Content-Based Multimedia Information Access (RIAO) Conference, pages 1400-1415, Paris, France, 2000
  66. Carrive, J., Pachet, F., and Ronfard, R. Logiques de Descriptions pour l’Analyse Structurelle de Film. In Charlet, J., editor, Ingénierie des connaissances, Eyrolles, 2000
  67. Pachet, F., Delerue, O. and Gouyon, F. Extracting Rhythm from Audio Signals. Proceedings of SONY Research Forum, 2000
  68. Mili, H. Pachet, F. Metamodeling for Multidimensional Reuse, Sixth Maghrebian Conference on Computer Sciences, Sixième Conférence Maghrébine en Informatique, Fès, 01-03/11/2000.
  69. Pachet, F. Surprising Harmonies. International Journal of Computing Anticipatory Systems, 4 February 1999
  70. Pachet, F. Constraints for Multimedia Applications. Proceedings of PACLP 1999, London, March 1999, The Practical Application Company.
  71. Liret, A., Roy, P. and Pachet, F. Constraint Satisfaction and Symbolic Reasoning for Reactive Control Systems. Proceedings of the First Workshop on Constraints in Control, Constraint Programming Conference (CP’99), Alexandria, USA, 1999
  72. Pachet, F. and Delerue O. Le projet Ecoute active à Sony CSL. Proceedings of Imagina 1999, 1999, Actes Image et son : Horizons interactifs / Proceedings Image and Sound: Interactive Horizons
  73. Pachet, F. Le projet Ecoute active à Sony CSL. Proceedings of the Forum européen des formations aux métiers du son, 21-23 janvier 1999, Université de Bordeaux 1
  74. Pachet, F. and Delerue, O. MusicSpace: a Constraint-based Music Spatializer. Proceedings of Sony Research Forum 1999, pages 246-251, Tokyo, 1999, Sony.
  75. Pachet, F. Constraints for Multimedia. Association of Logic Progamming Newsletter, 1999
  76. Pachet, F. and Delerue, O. MusicSpace: a Constraint-based Control System for Music Spatialization. Proceedings of ICMC 1999, pages 272-275, Beijing, China, 1999, ICMA.
  77. Pachet, F. and Delerue, O. Annotations for Real Time Music Spatialization. Proceedings of International Workshop on Knowledge Representation for Interactive Multimedia Systems, Trento, Italy, 1998
  78. Pachet, F. and Delerue, O. A Mixed 2D/3D Interface for Music Spatialization. First International Conference on Virtual Worlds, Lecture Notes in Computer Science (no. 1434), pages 298-307, 1998, Springer Verlag.
  79. Delerue, O. and Pachet, F. MidiSpace, un spatialisateur Midi expérimental. JIM 98, Agelonde, France, 1998
  80. Pachet, F. Sur la structure algébrique des séquences d’accords de Jazz. JIM98, Agelonde, France, 1998
  81. Pachet, F. and Delerue, O. Constraint-Based Spatialization. First COST-G6 Workshop on Digital Audio Effects (DAFX98), pages 71-75, Barcelona, Spain, November 1998
  82. Carrive, J., Pachet, F., and Ronfard, R. Using Description Logics for Indexing Audiovisual Documents. In Franconi, E., De Giacomo, G., MacGregor, R.M., Nutt, W., Welty, C.A., editor, Proceedings of the International Workshop on Description Logics, DL’98, ITC-IRST No. 9805-03, pages 116-120, Trento, 1998
  83. Roy, P. and Pachet, F. Using Symmetry of Global Constraints to Speed up the Resolution of Constraint Satisfaction Problems. Proceedings of ECAI’98 Workshop on non-binary constraints, 1998
  84. Liret, A., Ramaux, N., Fontaine, N., Dojat, M. and Pachet, F. N-ary constraints for scenario recognition. Workshop on non-binary constraints, ECAI’98, Brighton, U.K., 1998
  85. Pachet, F. and Roy, P. Reifying chords in automatic harmonization. Workshop on Constraints for Artistic Applications, ECAI’98, Brighton, UK., 1998
  86. Delerue, O. and Pachet, F. Constraint Propagation for Real-time Spatialization. Workshop on Constraints for Artistic Applications, ECAI’98, Brighton, UK., 1998
  87. Liret, A., Roy, P. and Pachet, F. Conception par objets d’un système pour combiner raisonnement formel et satisfaction de contraintes. Proceedings of Journées Francophones des Langages Applicatifs (JFLA), Come, Italy, 1998
  88. Pachet, F. and Delerue, O. Constraint-Based Spatialization. Sony Research Forum, Tokyo, Japan, October 1998, Sony Corporation.
  89. Pachet, F. A Combinatorial Approach to Music Selection. Sony Research Forum, Tokyo, Japan, October 1998, Sony Corporation.
  90. Mili, H. and Pachet, F. Exchanging Models Between Tools Supporting A Different Number of Modeling Layers. OOPSLA 98 Workshop on Model Engineering, Methods and Tools Integration with CDIF, Vancouver, Canada, 1998
  91. Carrive, J., Pachet, F., and Ronfard, R. Logiques de Descriptions pour L’analyse Structurelle de Film. Ingénierie des Connaissances 1998, Pont-á-Mousson, France, 1998
  92. Chikhi Y, Moustafiadès J., Pachet F. “Démarche de modélisation de réseaux électriques à partir de composants structurés en points de vue”, Inforsid, Montpellier, 1998.
  93. Chikhi Y, Moustafiadès J., Pachet F. An approach for Building Electrical Network Models Based on Reusable Components, CESA’98 IMACS Multiconference, Computational Engineering in Systems Applications, Nabeul-Hammamet, Tunisia, 1-4 avril 1998.
  94. Anne Liret, Pierre Roy, François Pachet, Conception par objets d’un système pour combiner raisonnement formel et satisfaction de contraintes. Journées PRC/GDR “programmation”, pôle Programmation par Objets, Rennes, 1998.
  95. Djamen, J.-Y. Pachet, F. Advice with Part-Whole and Precedence Relations in Task Graphs for Intelligent Tutoring Systems. FLAIRS’97 Special Track on Intelligent Tutorial Systems.
  96. Rousseaux, F. Pachet. L’espace dans le projet ” La partition intérieure interactive “. Colloque Musique/Philosophie. Université Paris IV, Paris, janvier 1997.
  97. Rousseaux, Meunier, J.-G., Pachet, F. Comment penser un système d’assistance artificiel quand l’improvisation est au cœur de l’activité à modéliser ? Le cas du projet “La Partition Intérieure Interactive”, IC ’97 (Ingénierie des Connaissances), Roscoff, 1997
  98. Rousseaux, F. Pachet. Acquisition des connaissances et improvisation: la Partition Intérieure Interactive, Journées d’Informatique Musicale, JIM 97, Lyon.
  99. Liret, A., Roy, P. and Pachet, F. Combining Formal Reasoning Techniques and CSP. ERCIM Workshop on Constraint Programming and Processing, Linz, 1997
  100. Roy, P. and Pachet, F. Conception de problèmes par objets et contraintes. In Gengler, M. and Queinnec, C., editor, Actes des journées francophones des langages applicatifs (JFLA 97), pages 169-187, Dolomieu, France, January 1997, INRIA.
  101. Roy, P., Pachet, F. and Perrot, J.-F. A Framework for Expressing Knowledge about Constraint Satisfaction Problems. Proceedings of Florida AI Research Symposium, FLAIRS 97, pages 47-51, Daytona, Fla, 1997, The Council.
  102. Pachet, F. Carrive, J. Propriétés des intervalles circulaires et application à l’analyse harmonique automatique. Troisièmes Journées d’Informatique Musicale JIM 96, Caen, Cahiers du Greyc, pp.230-247, 1996
  103. Giroux, S. Paquette, G. Pachet, F. and Girard, J. EpiTalk, a Platform for Epiphyte Advisor Systems Dedicated to Both Individual and Collaborative Learning. Intelligent Tutoring Systems, Springer-Verlag Lecture Notes in Computer Science, 1086:363-371, 1996
  104. François Pachet, JIM’95: Journées d’Informatique Musicale, Computer Music Journal, Vol. 20, No. 1 (Spring, 1996), pp. 102-103
  105. Rolland, P.-Y. Pachet, F. Représentation de connaissances sur la programmation de synthétiseurs. Deuxièmes journées d’informatique musicale, JIM 95, pp. 123-132, Paris, 1995
  106. Pachet, F. Wolinski, F. and Giroux, S. Spying as an Object-Oriented Paradigm. Proceedings of TOOLS 95, pages 109-118, Versailles, France, 1995 Prentice-Hall.
  107. François Pachet et Gérard Assayag, Dossier IA et musique, bulletin de l’AFIA numéro 23, octobre 1995.
  108. Dojat, M. Pachet, F. Three compatible mechanisms for representing medical context implicitly. IJCAI’95 Workshop on Context in Knowledge and Reasoning Modelling.
  109. Pachet, F. Giroux, S. Building plan recognition systems on arbitrary applications: the spying technique. IJCAI’95 Workshop on “New generation of plan recognition systems”
  110. Mouton, R., Pachet, F. Numeric vs symbolic controversy in automatic analysis of tonal music. IJCAI’95 Workshop on Artificial intelligence and Music.
  111. Rolland, P.-Y., Pachet, F. Knowledge representation on synthesizer patch programming. IJCAI’95 Workshop on Artificial intelligence and Music
  112. Pachet, F. Roy, P. Mixing constraints and objects: a case study in automatic harmonization. TOOLS Europe ’95, Prentice-Hall, pp. 119-126
  113. Dojat, M. and Pachet, F. Representing Medical Context Using Rule-Based Object-Oriented Programming Techniques. In” Proceedings of 5th conference on Artificial Intelligence in Medicine Europe, AIME’95” (P. Barahona, M. Stefanelli and J. Wyatt, Eds.), pp. 423-424. Springer-Verlag, Pavia (It), 25-28 June, 1995.
  114. Pachet, F. Ramalho, G. Carrive, J. Cornic, G. Representing temporal objects and reasoning in the MusES system, in International Congress on Music and Artificial Intelligence, pp. 33-48, Edinburgh University, (1995)
  115. Karsenty, S. Pachet, F. Un mécanisme hiérarchique de répétition et prédiction de tâches, in Conférence IHM’95, 7e Journées sur l’Interaction Homme-Machine, Toulouse, France, 11-13 octobre (1995), pp. 169-175, Cepadues Eds.
  116. Pachet, F. and Roy, P. Integrating constraint satisfaction techniques with complex object structures. Proceedings of 15th Annual Conference of the British Computer Society Specialist Group on Expert Systems, ES’95, pages 11-22, Cambridge, U.K., December 1995, Best technical paper award
  117. Pachet, F. Vers un modèle du raisonnement dans les langages à objets. In F. Rechenmann, editor, Actes de Langage et modèles à objets, LMO 94, Grenoble, France, 1994
  118. Mili, H. Pachet, F. Benyahya, I. Eddy, F. Report on the OOPSLA’95 Workshop on Metamodeling. Addendum to the OOPSLA’94 proceedings. ACM SIGPLAN notice.
  119. Pachet, F. and Mili, H. Exploiting Regularity in Cyc for Text Generation. In Cognizant Communication Corp., editor, Proceedings of the Second World Congress on Expert Systems, pages 711-719, Lisbon, Portugal, 1994
  120. Pachet, F. Giroux, S. and Paquette, G. Pluggable Advisors as Epiphyte Systems. In Dessalles, J-L, editor, Proceedings of Calisce 94 (Computer-Aided Learning in Science and Engineering), pages 167-174, Paris, September 1994, ENST
  121. Giroux, S. Pachet, F. Des systèmes multi-agents épiphytes. Deuxièmes Journées Francophones “Intelligence Artificielle Distribuée & Systèmes Multi-Agents”, Grenoble, 9-11 mai 1994.
  122. Pachet, F. and Perrot, J.-F. Report on the NeOpus System Experience. Proceedings of the OOPSLA Workshop on EOOPS (Embedded Object-Oriented Production Systems), Portland, Or, 1994
  123. Pachet, F. Report on the OOPSLA’94 Workshop on EOOPS. Addendum to the OOPSLA’94 proceedings. ACM SIGPLAN notice
  124. Ramalho, G. and Pachet, F. What is needed to bridge the gap between real book and real jazz performance?. In Deliège, I., editor, Proceedings of ICMPC (International Conference on Music Perception and Cognition), pages 349-352, Lièges, Belgium, 1994 ESCOM
  125. Pachet, F. The MusES system: an environment for experimenting with knowledge representation techniques in tonal harmony. First Brazilian Symposium on Computer Music, SBC&M ’94, August 3-4, Caxambu, Minas Gerais, Brazil, pp. 195-201, 1994
  126. Pachet, F. An Object-Oriented Representation of Pitch-Classes, Intervals, Scales and Chords.Proceedings of Journées d’Informatique Musicale (JIM), Bordeaux (France), 1994, Université de Bordeaux I
  127. Giroux, S. Pachet, F. & Desbiens, J. Debugging multi-agent systems: a distributed approach to events collection and analysis. Canadian Workshop on Distributed Artificial Intelligence (CWDAI ’94), Banff, Alberta, Canada, mai 1994
  128. Giroux, S. Pachet, F. Senteni, A. Contrôle descendant versus structuration ascendante. 61ème congrès de l’ACFAS, Rimouski, Canada, 17-21 mai 1993. Annales de l’ACFAS, vol. 61, p. 408.
  129. Dojat, M. Pachet, F. NéoGanesh: an extendable Knowledge-Based System for the Control of Mechanical Ventilation. 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, October 29-Novembre 1st, Paris, pp. 920-921, (1992).
  130. Dojat, M. Pachet, F. Representation of a Medical Expertise Using the Smalltalk environment: putting a prototype to work. Proc. of TOOLS’7, Dortmund, Germany, March 31-April 2, pp. 379-390, 1992.
  131. Pachet, F. Rule Base Inheritance.In EC2, editor, Proceedings of RPO 92 (Représentations par Objets), pages 187-200, La Grande Motte, France, 1992
  132. Pachet, F. Representing Knowledge Used by Jazz Musicians. Proceedings of International Conference on Computer Music (ICMC), 1991, pp. 285-288, Montréal
  133. Pachet, F. A meta-level architecture for analysing jazz chord sequences. Proceedings of International Conference on Computer Music (ICMC), 1991, pp. 266- 269, Montréal.
  134. Pachet, F. Reasoning with objects: the NéOpus environment. Conférence East EurOOpe, Bratislava, Tchécoslovaquie, pp. 72-87, septembre, (1991).
  135. Pachet, F. Mixing Rules and Objects: an Experiment in the World of Euclidean Geometry. ISCIS V, pp. 797 – 805, Nevşehir, Turquie, 30 oct. – 2 nov. 1990.
  136. Pachet, F. A Practical Use of Metaclasses. In Bezivin, J., editor, Procedings of Technology of Object-Oriented Languages and Systems (TOOLS), pages 233-242, Paris, November 1989 SOL.

Videos (4). Over 100 videos of my prototypes can be found on the Sony CSL YouTube channel. I list here the most important ones

  1. Carré, B. Pacet, F. Ghedini, F. (2016) Daddy’s car.7 M views as of september 2017
  2. Marchini, M. Pachet, F and Ghedini, F. Extending the Performers Creativity with the Reflexive Looper, June 2016, ICCC, Best Video Award
  3. Ghedini, F., Roy, P. and Pachet, F. Machine Learning Techniques for Reorchestrating the European Anthem, February 2016, AAAI, Best Video Award
  4. Ghedini, F., Roy, P. and Pachet, F. The Flow Machines Project, August 2013, IJCAI, Best Video Award
  5. Ghedini, F.and Roy, P. and Pachet, F. The Flow Machines Project, August 2013, AAAI, Best Video Award

Thesis (3)

  1. Pachet, F. Représentation de connaissances et langages à objets.Habilitation à diriger des recherches, Université Pierre & Marie Curie, June 1997
  2. Pachet, F. Représentation de connaissances par objets et règles: le système NéOpus.D., Université Pierre & Marie Curie, September 1992
  3. Pachet, F. Utilisation d’un système expert pour simuler les comportements d’un pianiste et d’un bassiste accompagnant un improvisateur de jazz. Rapport de DEA (effectué à l’Ircam sous la direction de David Wessel), LAFORIA, Université Paris VI, 1987.

Tutorials (9)

  1. Briot, J.-P. and Pachet, F. “Machine Learning for Music Generation”, ISMIR 2017, Suzhou, China
  2. Deruty, E. and Pachet, F. “Why is studio production interesting?” ISMIR 2016, NY, USA, August 2016.
  3. Pachet, F. Cabral, G. Why is Brazilian guitar interesting? ISMIR 2013, Curitiba, Brazil
  4. Pachet, F. Cabral, G. Why is Brazilian guitar interesting? Simpósio Brasileiro de Computação Musical (SBCM), 2013, Brasilia, Brazil
  5. Pachet, F. “Why is jazz interesting”, ISMIR 2012, Porto, Portugal
  6. Roy, P. Pachet, F. Constraint Satisfaction Problems and Objects, IJCAI ’97, Nagoya, Japan
  7. Roy, P. Pachet, F. Integrating Constraint Satisfaction with Object-Oriented Programming, 15th Annual Conference of the British Computer Society Specialist Group on Expert Systems, ES’95. Cambridge.
  8. Roy, P. Pachet, F. Integrating Constraint Satisfaction in Smalltalk-80, Summer School of the European Smalltalk User Group, Genève, Suisse, Sept. 1996.
  9. Pachet, F. Epiphyte Programming in Smalltalk-80, Summer School of the European Smalltalk User Group, Cork, Ireland, Sept. 1994.

 

Technical Reports (7)

  1. Pachet, F. NeOpus User’s manual. Laforia technical report n. 95/23, October 1995.
  2. Pachet, F. Dojat, M. Représentation de connaissances temporelles hiérarchiques en NéOpus. Rapport LAFORIA n. 95/23, mai 1995.
  3. Pachet, F. Djamen, J.-Y. Frasson, C. Production de conseils pertinents exploitant les relations de composition et de précédence dans un graphe de taches. Rapport interne DIRO, Université de Montréal, n. IRO#953, février 1995.
  4. Paquette, G. Giroux, S. Pachet, F. Méthodes et outils de développement de systèmes conseillers dans les environnements de formation. Rapport de recherche du LICEF, Télé-Université, Montréal, Décembre 1993.
  5. Pachet, F. Giroux, S. Paquette, G. EpiTalk, une architecture et une implantation d’un système conseiller générique. Rapport de recherche du LICEF, Télé-Université, Montréal, Novembre 1993.
  6. Pachet, F. Du bon usage des méta-règles en NéOpus, n. 91/16. nov. 91.  Pachet, F. Pour en finir avec le singe et les bananes, n. 91/15. nov. 91.
  7. Pachet, F. NéOpus mode d’emploi, n. 91/14. nov. 91.

Patents (37 granted, some of them are possibly no longer maintained)

  1. Automatic music continuation method and device, Publication number:  Abstract: The invention allows to generate music as a real time continuation of an input sequence of music data, through a continuation phase comprising the steps of: Type: Application. Filed: June 7, 2002. Publication date: December 26, 2002. Inventor: Francois Pachet
  2. Real time audio spatialisation system with high level control. Publication number:  Abstract: The invention relates to a system and method for controlling an audio spatialisation in real time, comprising.. Type: Application. Filed: March 15, 2001. Publication date: December 27, 2001. Inventors: Francois Pachet, Olivier Delerue
  3. ELECTRONIC DEVICE, METHOD AND COMPUTER PROGRAM. Publication number:  Abstract: An electronic device comprising a processing unit arranged to determine an estimation signal (y(k)) based on an input signal (x(k)) and based on a non-stationary reference signal (s0(k)). Type: Application. Filed: July 11, 2016. Publication date: January 26, 2017. Applicant: Sony Corporation. Inventors: Stanislaw GORLOW, Mathieu RAMONA, Francois PACHET
  4. Information type identification method and apparatus, E.G. for music file name content identification. Publication number:  Abstract: The method serves to automatically identify in a set of data sequences at least one specific type of information contained in each data sequence of the set, wherein the type of information has an unknown presentation in the data sequences. Type: Application. Filed: April 23, 2002. Publication date: December 19, 2002. Inventor: Francois Pachet
  5. Method and system for generating sequencing information representing a sequence of items selected in a database. Patent number: 7130860. Abstract: A method and a system for generating sequencing information representing a sequence of items selected in a database. Similarity relation techniques are applied between the items. Type: Grant. Filed: September 27, 2001. Date of Patent: October 31, 2006. Assignee: SONY France S.A. Inventors: Francois Pachet, Daniel Cazaly, Pierre Roy
  6. Information sequence extraction and building apparatus e.g. for producing personalised music title sequences. Publication number: 20020078029. Abstract: The invention serves to store at least one sequence of information (2) formed of a succession of information items, such as music titles, in which an artistic or rational link is considered to exist between at least some pairs of adjacent items in the succession. The apparatus comprises an input (I1) for receiving the sequence of information (2), and a storage unit (32) for storing it. Type: Application. Filed: December 14, 2001. Publication date: June 20, 2002. Inventor: Francois Pachet
  7. Method and apparatus for automatically generating a general extraction function calculable on an input signal, e.g. an audio signal to extract therefrom a predetermined global characteristic value of its contents, e.g. a descriptor. Publication number: 20040181401. Abstract: The invention enables to generate a general function (4) which can operate on an input signal (Sx) to extract from the latter a value (DVex) of a global characteristic value expressing a feature (De) of the information conveyed by that signal. Type: Application. Filed: December 16, 2003. Publication date: September 16, 2004. Inventors: Francois Pachet, Aymeric Zils
  8. Hybrid audio-visual categorization system and method. Publication number: 20100125539. Abstract: Meta-data (tags) for an audiovisual file can be generated by prompting a user to input certain tags (meta-data) descriptive of the audiovisual file, to serve as an initial estimate of the tags, and then revising the initial estimate (notably to expand it and/or render it more precise) based on the assumption that the relationships which hold between the different tags for a set of manually-tagged training examples will also hold for the tags of the input file now being tagged. Type: Application. Filed: November 20, 2009. Publication date: May 20, 2010. Applicant: SONY FRANCE S.A. Inventors: Jean-Julien Aucouturier, Pierre Roy, Francois Pachet
  9. Content-Management Interface. Publication number: 20080126937. Abstract: A content-management interface is implemented using superposition of graphical “widget” elements onto an on-screen display of the real-time image of a user. The widgets are motion-sensitive control elements which are responsive to user movement that produces motion of the user’s displayed image at an on-screen location associated with that widget. The user can operate the widget virtually, for example by moving his hand over a widget, or pushing a widget along. Meta-data descriptive of the content to be managed is mapped onto widgets, enabling the user to interact with the meta-data, notably by changing it or by selecting content with reference to it. Type: Application. Filed: October 5, 2005. Publication date: May 29, 2008. Applicant: SONY FRANCE S.A. Inventor: François Pachet
  10. Hybrid audio-visual categorization system and method. Patent number: 8321414. Abstract: Meta-data (tags) for an audiovisual file can be generated by prompting a user to input certain tags (meta-data) descriptive of the audiovisual file, to serve as an initial estimate of the tags, and then revising the initial estimate (notably to expand it and/or render it more precise) based on the assumption that the relationships which hold between the different tags for a set of manually-tagged training examples will also hold for the tags of the input file now being tagged.
    Type: Grant. Filed: November 20, 2009. Date of Patent: November 27, 2012. Assignee: Sony France S.A. Inventors: Jean-Julien Aucouturier, Pierre Roy, Francois Pachet
  11. Incremental sequence completion system and method. Publication number: 20020002897. Abstract: The present invention relates to a method designed to be used to compute music sequences in all possible contexts and situations, including: Internet adaptive radio, Digital Audio Broadcasting (DAB) with intelligent scheduling, music recommendation systems, and other innovative Electronic Music Distribution (EMD) services in general. These sequences are generated “iteratively”, and step by step. To the above end, there is provided a method of generating incrementally a sequence of items from a database containing said items, characterised in that the sequence is generated by implementing in combination a sequence completion system and a user profiling system, thereby taking into account both sequence coherence and user profile. Type: Application. Filed: July 2, 2001. Publication date: January 10, 2002. Inventors: Francois Pachet, Daniel Cazaly
  12. Content-management interface. Patent number: 7886229. Abstract: A content-management interface is implemented using superposition of graphical “widget” elements onto an on-screen display of the real-time image of a user. The widgets are motion-sensitive control elements which are responsive to user movement that produces motion of the user’s displayed image at an on-screen location associated with that widget. The user can operate the widget virtually, for example by moving his hand over a widget, or pushing a widget along. Meta-data descriptive of the content to be managed is mapped onto widgets, enabling the user to interact with the meta-data, notably by changing it or by selecting content with reference to it. Type: Grant. Filed: October 5, 2005. Date of Patent: February 8, 2011. Assignee: Sony France S.A. Inventor: Francois Pachet
  13. Information sequence extraction and building apparatus e.g. for producing personalised music title sequences. Patent number: 7203702. Abstract: This invention serves to provide an apparatus for storing at least one sequence of information formed from a succession of information items in which an artistic or rational link is considered to exist between at least some pairs of adjacent items in the succession. The apparatus comprises an input for receiving the sequence of information, and a storage unit for storing the information. Further, a segmentation device is provided for segmenting the sequence of information into individually accessible segments, each corresponding to a respective information item, in response to segmentation data indicating end limits of the information items. The storage unit outputs the segments in a sequence corresponding to the succession of information items. Type: Grant. Filed: December 14, 2001. Date of Patent: April 10, 2007. Assignee: Sony France S.A. Inventor: François Pachet
  14. DEVICE AND METHOD FOR GENERATING A REAL TIME MUSIC ACCOMPANIMENT FOR MULTI-MODAL MUSIC. Publication number: 20160247496. Abstract: A device for generating a real time music accompaniment includes a music input interface, a music mode classifier that classifies pieces of music received at the music input interface into one of different music modes including at least a solo mode, a bass mode, and a harmony mode, a music storage, and a music output interface. A music selector selects one or more recorded pieces of music as real time music accompaniment to an actually played piece of music received at the music input interface, wherein the one or more selected pieces of music are selected to be in a different music mode than the actually played piece of music. A music output interface outputs the selected pieces of music. Type: Application. Filed: December 5, 2013. Publication date: August 25, 2016. Applicant: SONY CORPORATION. Inventors: Francois PACHET, Pierre ROY
  15. Information item morphing system. Publication number: 20020083055. Abstract: The invention relates to a method of generating sequencing information representing a sequence of items selected in a database. Each of the items comprises a set of descriptors. The method is characterised by comprising the steps of: a) specifying a length of items and at least one of the descriptors; b) performing similarity relation techniques between the items; and c) generating a fixed-length sequence having a morphological continuity. Each of the items is represented by a series of constraint variables having a domain in the database, and modelling each of the values of descriptors in a desired sequence as a constrained variable. The similarity relation performing step may comprise performing global similarity techniques by combining individual similarity measures on all of the descriptors. The sequence-generating step comprises transforming at least one of the values into unary constraints in terms of constraint satisfaction programming techniques. Type: Application. Filed: September 27, 2001. Publication date: June 27, 2002. Inventors: Francois Pachet, Daniel Cazaly, Pierre Roy
  16. METHOD FOR CREATING A MARKOV PROCESS THAT GENERATES SEQUENCES. Publication number: 20120246209. Abstract: The present invention relates to a method for creating a Markov process that generates sequences. Each sequence has a finite length L, comprises items from a set of a specific number n of items, and satisfies one or more control constraints specifying one or more requirements on the sequence. The method comprises the steps of receiving data defining an initial Markov process of a specific order d and having an initial probability distribution and of receiving data defining one or more control constraints. The method further comprises the step of generating data defining intermediary matrices, each matrix being of dimension n by n, by zeroing out transitions in the initial Markov process data that are forbidden by the one or more control constraints. Type: Application. Filed: March 19, 2012. Publication date: September 27, 2012. Applicants: Sony Europe Limited, Sony Corporation. Inventors: Francois PACHET, Pierre Roy, Gabriele Barbieri
  17. Method for creating a markov process that generates sequences. Patent number: 9110817. Abstract: The present invention relates to a method for creating a Markov process that generates sequences. Each sequence has a finite length L, comprises items from a set of a specific number n of items, and satisfies one or more control constraints specifying one or more requirements on the sequence. The method comprises the steps of receiving data defining an initial Markov process of a specific order d and having an initial probability distribution and of receiving data defining one or more control constraints. The method further comprises the step of generating data defining intermediary matrices, each matrix being of dimension nd by n, by zeroing out transitions in the initial Markov process data that are forbidden by the one or more control constraints. Type: Grant. Filed: March 19, 2012. Date of Patent: August 18, 2015. Assignee: Sony Corporation. Inventors: Francois Pachet, Pierre Roy, Gabriele Barbieri
  18. Mapped meta-data sound-playback device and audio-sampling/sample-processing system usable therewith. Publication number: 20060074649. Abstract: Audio samples corresponding to audio extracts or whole audio titles are automatically mapped to triggers 12 in a playable sound-producing device 1, the mapping being dependent on the meta-data associated with the audio samples. Thus, a user can play the sound-producing device and generate sounds derived from his favourite audio titles. It is possible to define different mappings between the audio samples and the playable domain of the sound-producing device: an audio sample selector 50 can select between different possible samples for playback by comparing the audio properties of the samples and the play-mode and/or characteristics of the user’s performance. An audio sampler/sample-processor 70 can automatically extract segments of an audio source file and map them to triggers in the sound-producing device 1. Type: Application. Filed: October 4, 2005. Publication date: April 6, 2006. Inventors: Francois Pachet, Jean-Julien Aucouturier
  19. Incremental sequence completion system and method. Patent number: 6452083. Abstract: The present invention relates to a method designed to be used to compute music sequences in all possible contexts and situations, including: Internet adaptive radio, Digital Audio Broadcasting (DAB) with intelligent scheduling, music recommendation systems, and other innovative Electronic Music Distribution (EMD) services in general. These sequences are generated “iteratively”, and step by step. To the above end, there is provided a method of generating incrementally a sequence of items from a database containing said items, characterized in that the sequence is generated by implementing in combination a sequence completion system and a user profiling system, thereby taking into account both sequence coherence and user profile. Type: Grant. Filed: July 2, 2001. Date of Patent: September 17, 2002. Assignee: Sony France S.A. Inventors: François Pachet, Daniel Cazaly
  20.  DEVICE, SYSTEM AND METHOD FOR GENERATING AN ACCOMPANIMENT OF INPUT MUSIC DATA. Publication number: 20150127669. Abstract: A device for automatically generating a real time accompaniment of input music data includes a music input that receives music data. A music analyzer analyzes received music data to obtain a music data description including one or more characteristics of the analyzed music data. A query generator generates a query to a music database including music patterns and associated metadata including one or more characteristics of the music patterns, the query being generated from the music data description and from an accompaniment description describing preferences of the real time accompaniment and/or music rules describing general rules of music. A query interface queries the music database using a generated query and receives a music pattern selected from the music database by use of the query. A music output outputs the received music pattern. Type: Application. Filed: June 3, 2013. Publication date: May 7, 2015. Applicant: SONY CORPORATION. Inventors: Pierre Roy, Francois Pachet
  21. HYBRID AUDIO-VISUAL CATEGORIZATION SYSTEM AND METHOD. Publication number: 20080040362. Abstract: Meta-data (tags) for an audiovisual file can be generated by producing an initial estimate of the tags and then revising the estimate (notably to expand it and/or render it more precise) based on the assumption that the relationships which hold between the different tags for a set of manually-tagged training examples will also hold for the tags of the input file now being tagged. A fully-automatic method and system is a hybrid between signal-based and machine-learning approaches, because the initial tag estimate is based on the physical properties of the signal representing the audiovisual file. The initial tag estimate may be produced by inferring that the input content will have the same tags as those files of the same kind, in the training database, which have a global similarity to the input audiovisual file in terms of signal properties. Type: Application. Filed: March 23, 2007. Publication date: February 14, 2008. Applicant: SONY FRANCE S.A. Inventors: Jean-Julien Aucouturier, Pierre Roy, Francois Pachet
  22.  ONE-CLICK SELECTION OF MUSIC OR OTHER CONTENT. Publication number: 20100174695. Abstract: A set of temporal phases are defined, occurring successively during the playback of music (or other content) to a user. Each temporal phase is associated with a set of selection criteria. If the user operates a selection device (which can be a computer mouse button) while a piece of music or other content is being played back, the selection phase applicable at the time of user-action is determined and further content is selected based on the selection criteria associated with the applicable phase. This enables the user, with minimal action, to influence the content being rendered. The selection criteria can be related to the meta-data of the content being played back at the time of user action. The meaning attributed to the applicable temporal phase can be varied depending on the pressure of the mouse button click. Type: Application. Filed: March 30, 2007. Publication date: July 8, 2010. Applicant: Sony France S.A. Inventors: Francois Pachet, Pierre Roy
  23.  ANIMAL-MACHINE AUDIO INTERACTION SYSTEM. Publication number: 20110082574. Abstract: An animal-machine audio interaction system includes a sound monitor for monitoring the sounds made by one or more animals, a sound segmenter for identifying coherent sound segments within the sounds made by the animal(s), a sound analyzer for analyzing and assigning a category to each sound segment, an output sound selector for selecting an output sound appropriate to the category assigned by the sound analyzer, and a sound output unit for outputting the selected output sound to the animal(s). A different control protocol may be used to define the categories assigned to the animal sounds and to determine the respective audio responses that are appropriate to the different sound categories. During operation of the system, a closed-loop audio interaction is set up between the animal(s) and the system. This interaction may be used for various purposes, such as investigating animal behaviour, entertaining the animal(s) and controlling animal behaviour. Type: Application. Filed: October 1, 2010. Publication date: April 7, 2011. Applicant: Sony Corporation. Inventors: Francois PACHET, Pierre ROY
  24.  Hybrid audio-visual categorization system and method. Patent number: 8392414. Abstract: Meta-data (tags) for an audiovisual file can be generated by producing an initial estimate of the tags and then revising the estimate (notably to expand it and/or render it more precise) based on the assumption that the relationships which hold between the different tags for a set of manually-tagged training examples will also hold for the tags of the input file now being tagged. A fully-automatic method and system is a hybrid between signal-based and machine-learning approaches, because the initial tag estimate is based on the physical properties of the signal representing the audiovisual file. The initial tag estimate may be produced by inferring that the input content will have the same tags as those files of the same kind, in the training database, which have a global similarity to the input audiovisual file in terms of signal properties. Type: Grant. Filed: March 23, 2007. Date of Patent: March 5, 2013. Assignee: Sony France S.A. Inventors: Jean-Julien Aucouturier, Pierre Roy, Francois Pachet
  25.  Music spatialisation system and method. Patent number: 6826282. Abstract: A storage unit stores data representative of one or several sound sources and a listener of said sound sources. These data comprise position data corresponding to respective positions of the sound sources and the listener. An interface is provided for enabling a user to select the listener or a sound source and to control a change in the position data corresponding to the selected listener or sound source. A constraint solver means changes, in response to the position data change controlled by the user, at least some of the position data corresponding to the element(s), among the listener and the sound sources, other than said selected listener or sound source, in accordance with predetermined constraints. The system further comprises a command generator for delivering control data exploitable by a music spatialisation unit as a function of the position data corresponding to the sound sources and the listener. Type: Grant. Filed: May 25, 1999. Date of Patent: November 30, 2004. Assignee: Sony France S.A. Inventors: Francois Pachet, Luc Steels, Olivier Delerue
  26.  Animal-machine audio interaction system. Patent number: 8838260. Abstract: An animal-machine audio interaction system includes a sound monitor for monitoring the sounds made by one or more animals, a sound segmenter for identifying coherent sound segments within the sounds made by the animal(s), a sound analyzer for analyzing and assigning a category to each sound segment, an output sound selector for selecting an output sound appropriate to the category assigned by the sound analyzer, and a sound output unit for outputting the selected output sound to the animal(s). A different control protocol may be used to define the categories assigned to the animal sounds and to determine the respective audio responses that are appropriate to the different sound categories. During operation of the system, a closed-loop audio interaction is set up between the animal(s) and the system. This interaction may be used for various purposes, such as investigating animal behavior, entertaining the animal(s) and controlling animal behavior. Type: Grant. Filed: October 1, 2010. Date of Patent: September 16, 2014. Assignee: Sony Corporation. Inventors: François Pachet, Pierre Roy
  27.  METHOD AND APPARATUS FOR UPDATING PROTOTYPES. Publication number: 20100299328. Abstract: An apparatus and method for machine-updating of prototypes—for example, during design of digital objects, or content-management—has input means (15) for inputting descriptive classifiers (tags) that a user assigns to prototypes and a tag model generator (20) that uses machine learning techniques to produce a model of the association between the assigned tags and the values of quantifiable, non-subjective attributes of the tagged prototypes. In order to obtain a desired updating of a current prototype, the user issues a command which defines the desired variation of the current prototype by referring to one or more conditions that should be met by specified tags of the updated prototype. The prototype-updating apparatus/method has a prototype updater (30) that identifies a suitable updated prototype whose tags meet the condition(s) specified in the user’s command and which, globally, is fairly similar to the pre-update prototype. Type: Application. Filed: October 15, 2008. Publication date: November 25, 2010. Applicant: Sony France S.A. Inventor: Francois Pachet
  28.  Method and apparatus for updating prototypes. Patent number: 8856120. Abstract: An apparatus and method for machine-updating of prototypes—for example, during design of digital objects, or content-management—has input means (15) for inputting descriptive classifiers (tags) that a user assigns to prototypes and a tag model generator (20) that uses machine learning techniques to produce a model of the association between the assigned tags and the values of quantifiable, non-subjective attributes of the tagged prototypes. In order to obtain a desired updating of a current prototype, the user issues a command which defines the desired variation of the current prototype by referring to one or more conditions that should be met by specified tags of the updated prototype. The prototype-updating apparatus/method has a prototype updater (30) that identifies a suitable updated prototype whose tags meet the condition(s) specified in the user’s command and which, globally, is fairly similar to the pre-update prototype. Type: Grant. Filed: October 15, 2008. Date of Patent: October 7, 2014. Assignee: Sony France S.A. Inventor: Francois Pachet
  29.  Sequence generation using a constraint satisfaction problem formulation. Patent number: 6430573. Abstract: A method and system for automatic generation of sequences (notably temporal or spatial sequences) from items in a database involves the organisation of the data in a generic format, and the formulation of the problem as a Constraint Satisfaction Problem using special constraint classes. The database format includes attribute values referring to a predetermined taxonomy allowing similarity and difference between the respective values to be evaluated. Type: Grant. Filed: May 25, 1999. Date of Patent: August 6, 2002. Assignee: Sony France S.A. Inventors: Francois Pachet, Pierre Roy
  30.  Mapped meta-data sound-playback device and audio-sampling/sample-processing system usable therewith. Patent number: 7709723. Abstract: Audio samples corresponding to audio extracts or whole audio titles are automatically mapped to triggers 12 in a playable sound-producing device 1, the mapping being dependent on the meta-data associated with the audio samples. Thus, a user can play the sound-producing device and generate sounds derived from his favorite audio titles. It is possible to define different mappings between the audio samples and the playable domain of the sound-producing device: an audio sample selector 50 can select between different possible samples for playback by comparing the audio properties of the samples and the play-mode and/or characteristics of the user’s performance. An audio sampler/sample-processor 70 can automatically extract segments of an audio source file and map them to triggers in the sound-producing device 1. Type: Grant. Filed: October 4, 2005. Date of Patent: May 4, 2010. Assignee: Sony France S.A. Inventors: François Pachet, Jean-Julien Aucouturier
  31.  Automatic music continuation method and device. Patent number: 7034217. Abstract: The invention allows to generate music as a real time continuation of an input sequence of music data, through a continuation phase comprising the steps of: detecting the occurrence of an end of a current input sequence of music data (12), and starting to generate said continuation upon the detected occurrence of an end of a current input sequence of music data. The data rate of the current input sequence of music data can be determined so as to time the start of the continuation substantially in phase with the determined data rate such that the transition from an end of the current input sequence to the starting of the continuation is substantially seamless. Type: Grant. Filed: June 7, 2002. Date of Patent: April 25, 2006. Assignee: Sony France S.A. Inventor: François Pachet
  32.  Markovian-sequence generator and new methods of generating Markovian sequences. Patent number: 8566258. Abstract: A new type of Markovian sequence generator and generation method generates a Markovian sequence having controllable properties, notably properties that satisfy at least one control criterion which is a computable requirement holding on items in the sequence. The Markovian sequence is generated chunkwise, each chunk containing a plurality of items in the sequence. During generation of each chunk a search is performed in the space of Markovian sequences to find a chunk-sized series of items which enables the control criterion to be satisfied. The search can be performed using a generate and test approach in which chunk-sized Markovian sequences are generated then tested for compliance with the requirement(s) of the control criteria. Type: Grant. Filed: July 12, 2010. Date of Patent: October 22, 2013. Assignee: Sony Corporation. Inventors: François Pachet, Pierre Roy
  33.  Markovian-sequence Generator and New Methods of Generating Markovian Sequences. Publication number: 20110010321. Abstract: A new type of Markovian sequence generator and generation method generates a Markovian sequence having controllable properties, notably properties that satisfy at least one control criterion which is a computable requirement holding on items in the sequence. The Markovian sequence is generated chunkwise, each chunk containing a plurality of items in the sequence. During generation of each chunk a search is performed in the space of Markovian sequences to find a chunk-sized series of items which enables the control criterion to be satisfied. The search can be performed using a generate and test approach in which chunk-sized Markovian sequences are generated then tested for compliance with the requirement(s) of the control criteria. Type: Application. Filed: July 12, 2010. Publication date: January 13, 2011. Applicant:  Sony Corporation. Inventors:  Francois PACHET, Pierre ROY
  34.  Information type identification method and apparatus, e.g. for music file name content identification. Patent number: 6794566. Abstract: The method serves to automatically identify in a set of data sequences at least one specific type of information contained in each data sequence of the set, wherein the type of information has an unknown presentation in the data sequences. It comprises the steps of: initially defining at least one characteristic feature of the specific type of information, and of expressing the characteristic feature(s) in terms of at least one recognition rule executable by processor means (2), applying the recognition rule(s) through the processor means to analyze the set of data sequences, determining in each data sequence a data portion thereof satisfying the recognition rule(s), and identifying the data portion as corresponding to the specific type of information. Type: Grant. Filed: April 23, 2002. Date of Patent: September 21, 2004. Assignee: Sony France S.A. Inventor: François Pachet
  35.  Rhythm feature extractor. Publication number: 20020005110. Abstract: The invention relates to a method of extracting a representation of its rhythmic structure, from a given signal. The representation is designed to yield a similarity relation between item titles. Type: Application. Filed: April 5, 2001. Publication date: January 17, 2002. Inventors: Francois Pachet, Olivier Delerue
  36.  Rhythm feature extractor. Patent number: 6469240. Abstract: The invention relates to a method of extracting a representation of its rhythmic structure, from a given signal. The representation is designed to yield a similarity relation between item titles. Type: Grant. Filed: April 5, 2001. Date of Patent: October 22, 2002. Assignee: Sony France, S.A. Inventors: François Pachet, Olivier Delerue
  37. Method and apparatus for automatically generating a general extraction function calculable on an input signal, e.g. an audio signal to extract therefrom a predetermined global characteristic value of its contents, e.g. a descriptor. Patent number: 7624012. Abstract: The invention enables to generate a general function (4) which can operate on an input signal (Sx) to extract from the latter a value (DVex) of a global characteristic value expressing a feature (De) of the information conveyed by that signal. It operates by: generating at least one compound function (CF1-CFn), said compound function being generated from at least one of a set of elementary functions (EF1, EF2, . . .Type: Grant. Filed: December 16, 2003. Date of Patent: November 24, 2009. Assignee: Sony France S.A. Inventors: François Pachet, Aymeric Zils