OFAI

Publications of the START Y99-INF Project

2006

Dixon S., Goebl W., Cambouropoulos E.: Perceptual Smoothness of Tempo in Expressively Performed Music, Music Perception, 23, 3, 195-214, 2006.
http://www.ofai.at/cgi-bin/tr-online?number+2006-01

2005

Dixon S., Goebl W., Widmer G.: The 'Air Worm': An Interface for Real-Time Manipulation of Expressive Music Performance, Proceedings of the 2005 International Computer Music Conference (ICMC2005), Barcelona, 614-617, 2005.
http://www.ofai.at/cgi-bin/tr-online?number+2005-15

Gasser M.: Interactive Visualisation of Expressive Piano Performance, Master's thesis, Department of Computational Perception, Johannes Kepler University Linz., 2005.

Goebl W., Bresin R., Galembo A.: Touch and temporal behavior of grand piano actions, Journal of the Acoustical Society of America, 118(2), 1154-1165, 2005.
http://www.ofai.at/cgi-bin/tr-online?number+2005-01

Gouyon F., Dixon S.: A Review of Automatic Rhythm Description Systems, Computer Music Journal, 2005 (1), 34-54, 2005.
http://www.ofai.at/cgi-bin/tr-online?number+2006-02

Madsen S.T., Widmer G.: Evolutionary Search for Musical Parallelism, Proceedings of the EvoWorkshops, 30 March - 1 April, Lausanne, Switzerland, Springer: LNCS 3449, pp. 488-497, 2005.

Madsen S.T., Widmer G.: Exploring Similarities in Music Performances with an Evolutionary Algorithm, Proceedings of the 18th International FLAIRS Conference, (FLAIRS '05), May 15-17, Clearwater Beach, FL, USA, AAAI Press, Menlo Park, CA, USA, p.80-85, 2005.

Pohle T.: Evaluation of Frequently Used Audio Features for Classification of Music Into Perceptual Categories, CBMI 2005 Fourth International Workshop on Content-Based Multimedia Indexing, 2005.
http://www.ofai.at/cgi-bin/tr-online?number+2005-06

Schedl M., Knees P., Widmer G.: A Web-Based Approach to Acessing Artist Similarity using Co-Occurances, CBMI 2005 Fourth International Workshop on Content-Based Multimedia Indexing, 2005.

Stamatatos E., Widmer G.: Automatic Identification of Music Performers with Learning Ensembles, Artificial Intelligence, 165(1), 37-56, 2005.

Timmers R.: Predicting the similarity between expressive performances of music from measurements of tempo and dynamics, Journal of the Acoustical Society of America, 117(1), 391--399, 2005.

Widmer G.: Studying a Creative Act with Computers: Music Performance Studies with Automated Discovery Methods, Musicae Scientiae, 9(1), 11-30, 2005.

Widmer G.: Musikalisch intelligente Computer: Anwendungen in der klassischen und populaeren Musik, Informatik Spektrum, Springer Verlag, 2005.

Widmer G., Dixon S., Flexer A., Goebl W., Knees P., Madsen S.T., Pampalk E., Pohle T., Schedl M., Tobudic A.: The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (OFAI), Vienna, Proceedings of the 2005 International Computer Music Conference (ICMC2005), Barcelona, 169-172, 2005.
http://www.ofai.at/cgi-bin/tr-online?number+2005-12

2004

Dixon S.: Analysis of Musical Content in Digital Audio, Computer Graphics and Multimedia: Applications, Problems, and Solutions (ed. J. DiMarco), pp 214-235, 2004.
http://www.ofai.at/cgi-bin/tr-online?number+2002-39

Goebl W., Bresin R., Galembo A.: Once again: The perception of piano touch and tone. Can touch audibly change piano sound independently of intensity?, Proceedings of the 2004 International Symposion on Music Acoustics (ISMA'04), Nara, Japan, pp. 332-335, 2004.
http://www.ofai.at/cgi-bin/tr-online?number+2004-02

Goebl W., Pampalk E., Widmer G.: Exploring expressive performance trajectories: Six famous pianists play six Chopin pieces, Proceedings of the 8th International Conference on Music Perception and Cognition, Evanston, IL (ICMPC8), Causal Productions, Adelaide, pp. 505-509, 2004.
http://www.ofai.at/cgi-bin/tr-online?number+2004-06

Pampalk E.: A Matlab Toolbox to Compute Similarity from Audio, Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR'04), Barcelona, Spain, October 10-14., 2004.

Pampalk E., Dixon S., Widmer G.: Exploring Music Collections by Browsing Different Views, Computer Music Journal, 28(2), 49-62, 2004.

Saunders C., Hardoon D., Shawe-Taylor J., Widmer G.: Using String Kernels to Identify Famous Performers from their Playing Style, Proceedings of the 15th European Conference on Machine Learning (ECML'2004), Pisa, Italy, 2004.
http://www.cp.jku.at/people/widmer/papers/ecml2004_paper.pdf

Timmers R.: From objective measurements to subjective ratings of similarity between expressive performances of music, Proceedings of the 8th International Conference on Music Perception and Cognition, Evanston, IL (ICMPC8), Causal Productions, Adelaide, pp. 519-522, 2004.

Tobudic A., Widmer G.: Case-based Relational Learning of Expressive Phrasing in Classical Music, Proceedings of the 7th European Conference on Case-based Reasoning (ECCBR'04), Madrid, Spain, 2004.
http://www.ofai.at/cgi-bin/tr-online?number+2004-09

Widmer G.: Artificial Intelligence und Musik: Aktuelle Forschung und Anwendungsperspektiven, OCG Journal, 29(2), 12-14, 2004.

Widmer G.: Intelligent Computing for Music and Musicology, Proceedings of the First Central European International Multimedia and Virtual Reality Conference (CEIMVRC04), University of Veszprem Press, Hungary, 2004.

Widmer G., Goebl W.: Computational Models of Expressive Music Performance: The State of the Art, Journal of New Music Research, 33(3), 203-216, 2004.

Widmer G., Zanon P.: Automatic Recognition of Famous Artists by Machine, Proceedings of the 16th European Conference on Artificial Intelligence (ECAI'2004), Valencia, Spain, 2004.
http://www.ofai.at/cgi-bin/tr-online?number+2004-04

2003

Cambouropoulos E.: Pitch spelling: A computational model, Music Perception, 20(4), 411-429, 2003.

Dixon S.: On the analysis of musical expression in audio signals, Proceedings of the Conference on Storage and Retrieval for Media Databases 2003, SPIE Volume 5021, pp 122-132, SPIE/IS&T 15th Annual Symposium on Electronic Imaging, Santa Clara CA, Jan 2003, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2002-38

Dixon S.: Towards Automatic Analysis of Expressive Performance, Proceedings of the 5th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM5), Hanover, Germany, Sept 2003, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-13

Dixon S., Pampalk E., Widmer G.: Classification of Dance Music by Periodicity Patterns, Proceedings of the Fourth International Conference on Music Information Retrieval (ISMIR 2003), pp. 159-165, Baltimore, MD, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-24

Goebl W.: The Role of Timing and Intensity in the Production and Perception of Melody in Expressive Piano Performance, Unpublished dorctoral thesis, Institut fuer Musikwissenschaft, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-28

Goebl W., Bresin R.: Measurement and reproduction accuracy of computer-controlled grand pianos, Journal of the Acoustical Society of America, 114(4), 2273-2283, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-04

Goebl W., Bresin R.: Measurement and reproduction accuracy of computer-controlled grand pianos, Proceedings of the Stockholm Music Acoustics Conference (SMAC'03), August 6-9, 2003, Department of Speech, Music, and Hearing, Royal Institute of Technology, Stockholm, Sweden, Vol. 1, pp. 155-158, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-16

Goebl W., Bresin R., Galembo A.: The piano action as the performer's interface: Timing properties, dynamic behaviour, and the performer's possibilities, Proceedings of the Stockholm Music Acoustics Conference (SMAC'03), August 6-9, 2003, Department of Speech, Music, and Hearing, Royal Institute of Technology, Stockholm, Sweden, Vol. 1, pp. 159-162., 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-15

Goebl W., Parncutt R.: Asynchrony versus intensity as cues for melody perception in chords and real music, Proceedings of the 5th Triennial ESCOM Conference, September 8-13, 2003, Hanover University of Music and Drama, pp. 376-380, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-11

Kopiez R., Bangert M., Altenmueller E., Goebl W.: Tempo and loudness analysis of a continuous 28-hour performance of Erik Satie's composition 'Vexations.', R. Kopiez & A. C. Lehmann & I. Wolther & C. Wolf (Eds.), Proceedings of the 5th Triennial ESCOM Conference, September 8-13, 2003, Hanover University of Music and Drama, pp. 372-375, 2003.
http://www.escom5.de/

Kopiez R., Bangert M., Goebl W., Altenmueller E.: Tempo and loudness analysis of a continuous 28-hour performance of Erik Satie's composition 'Vexations', Journal of New Music Research, 32(3), 234-258, 2003.

Langner J., Goebl W.: Visualizing expressive performance in tempo-loudness space, Computer Music Journal, 27(4), 69-83, 2003.

Pampalk E.: Aligned Self-Organizing Maps, Proceedings of the Workshop on Self-Organizing Maps (WSOM'03), pp 185-190, Kitakyushu, Japan, September 11-14, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-20

Pampalk E., Dixon S., Widmer G.: On the Evaluation of Perceptual Similarity Measures for Music, Proceedings of the 6th International Conference on Digital Audio Effects (DAFx-03), pp. 7-12, London, U.K., 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-22

Pampalk E., Dixon S., Widmer G.: Exploring Music Collections by Browsing Different Views, Proceedings of the Fourth International Conference on Music Information Retrieval (ISMIR 2003), pp 201-208, Baltimore, MD, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-23

Pampalk E., Goebl W., Widmer G.: Visualizing Changes in the Structure of Data for Exploratory Feature Selection, Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2003), Washington, D.C., pp. 157-166, 2003.

Rauber A., Pampalk E., Merkl D.: The SOM-enhanced JukeBox: Organization and Visualization of Music Collections Based on Perceptual Models, Journal of New Music Research, 32(2), 193-210, 2003.

Timmers R.: Predicting the Subjective Similarity Between Expressive Performances of Music from Objective Measurements of Tempo and Dynamics, Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-25

Timmers R.: Book Review: Musical Performance: A Guide to Understanding (John Rink, Ed.), Psychology of Music, 2003.

Timmers R., Camurri A., Volpe G.: Performance Cues for Listeners' Emotional Engagement, Proceedings of the Stockholm Music Acoustics Conference (SMAC'03), August 6-9, 2003, pp. 569-572, 2003.
http://www.speech.kth.se/smac03/

Tobudic A., Widmer G.: Learning to Play Mozart: Recent Improvements, Proceedings of the IJCAI'03 Workshop on Methods for Automatic Music Performance and their Applications in a Public Rendering Contest, 18th Joint International Conference on Artificial Intelligence (IJCAI'03), Acapulco, Mexico, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2004-07

Tobudic A., Widmer G.: Playing Mozart Phrase by Phrase, Proceedings of the 5th International Conference on Case-based Reasoning (ICCBR'03), Trondheim, Norway, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2003-02

Tobudic A., Widmer G.: Relational IBL in Music with a New Structural Similarity Measure, Proceedings of the 13th International Conference on Inductive Logic Programming (ILP 2003), Springer Verlag, Berlin, 2003.
http://www.ofai.at/cgi-bin/tr-online?number+2004-08

Widmer G., Dixon S., Goebl W., Pampalk E., Tobudic A.: In Search of the Horowitz Factor, AI Magazine, 24(3), 111-130, 2003.

Widmer G., Tobudic A.: Playing Mozart by Analogy: Learning Multi-level Timing and Dynamics Strategies, Journal of New Music Research, 32(3), 259-268, 2003.

2002

Bringmann B., Kramer S., Neubarth F., Pirker H., Widmer G.: Transformation-based Regression, in Sammut C. and Hoffmann A.(eds.), Proceedings of the Nineteenth International Conference on Machine Learning (ICML 2002), Morgan Kaufmann Publishers, pp. 59-66, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-08

Chan A., Pampalk E.: Growing Hierarchical Self Organising Map (GHSOM) Toolbox: Visualisation and Enhancements, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), Singapore, Vol. 5, pp 2537-2541, 2002.

Dixon S., Goebl W.: Pinpointing the Beat: Tapping to Expressive Performances, Proceedings of the 7th International Conference on Music Perception and Cognition (ICMPC7), Sydney, Causal Productions, Adelaide, pp. 617-620, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-14

Dixon S., Goebl W., Widmer G.: The Performance Worm: Real Time Visualisation of Expression Based on Langner's Tempo-Loudness Animation, Proceedings of the 2002 International Computer Music Conference (ICMC'2002), Gothenburg, Sweden, edited by M. Nordahl (International Computer Music Association, San Fransisco), pp. 361-364, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-15

Dixon S., Goebl W., Widmer G.: Real-time Tracking and Visualisation of Musical Expression, Proceedings of the 2nd International Conference on Music and Artificial Intelligence (ICMAI'02), Edinburgh, Scotland, Springer, Berlin, pp. 58-68, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-04

Goebl W., Parncutt R.: The influence of relative intensity on the perception of onset asynchronies, Proceedings of the 7th International Conference on Music Perception and Cognition, Sydney (ICMPC7), Aug. 17-21, 2002, Causal Productions, Adelaide, pp. 613-616., 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-17

Langner J., Goebl W.: Was kennzeichnet die Interpretation eines guten Musikers? Die integrierte Analyse von Tempo- und Lautstaerkegestaltung und ihre musikpaedagogischen Anwendungsperspektiven, Multimedia als Gegenstand musikpaedagogischer Forschung (Ed. by R.-D. Kraemer), Die Blaue Eule, Essen, Vol. 23, pp. 193--208., 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2001-28

Langner J., Goebl W.: Representing expressive performance in tempo-loudness space, ESCOM 10th Anniversary Conference on Musical Creativity, April 5-8, 2002, Universite de Liege, Belgium, CD-ROM, 2002.
http://www.ofai.at/~werner.goebl/papers/langner_goebl_liege2002_proceedings.pdf

Pampalk E., Rauber A., Merkl D.: Content-based organization and visualization of music archives, Proceedings of the 10th ACM International Conference on Multimedia, Juan les Pins, France, pp. 570-579, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-30

Pampalk E., Rauber A., Merkl D.: Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps, Proceedings of the International Conference on Artificial Neural Networks (ICANN'2002), Madrid, Spain, edited by J. R. Dorronsoro, (Springer, Berlin), pp. 871-876, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-29

Rauber A., Pampalk E., Merkl D.: Using Psycho-Acoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Sound Similarity, Proceedings of the 3rd International Conference on Music Information Retrieval (ISMIR'02), Paris, France, pp. 71-80, 2002.

Stamatatos E.: Quantifying the Differences between Music Performers: Score versus Norm, Proceedings of the 2002 International Computer Music Conference (ICMC'2002), Gothenburg, Sweden, edited by M. Nordahl (International Computer Music Association, San Fransisco), pp. 376-382, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-13

Stamatatos E., Widmer G.: Music Performer Recognition Using an Ensemble of Classifiers, in Harmelen F.van(ed.), Proceedings of the 15th European Conference on Artificial Intelligence (ECAI 2002), IOS Press, Amsterdam, pp.335-339, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-02

Widmer G.: In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project, Proceedings of the 5th International Conference on Discovery Science (DS'02), Luebeck, Germany, Springer Verlag, Berlin, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-31

Widmer G.: Machine Discoveries: A Few Simple, Robust Local Expression Principles, Journal of New Music Research, 31(1), 37-50, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2001-32

Widmer G.: Trying to Explain a Creative Act: Studying Expressive Music Performance with Learning Machines, Proceedings of the ESCOM Conference on Musical Creativity, Liege, Belgium, CD-ROM, 2002.

Widmer G., Tobudic A.: Playing Mozart by Analogy: Learning Multi-level Timing and Dynamics Strategies, Proceedings of the ICAD Workshop on Performance Rendering Systems, 8th International Conference on Auditory Display (ICAD'2002), Kyoto, Japan, 2002.
http://www.ofai.at/cgi-bin/tr-online?number+2002-23

2001

Bresin R.: Articulation Rules for Automatic Music Performance, Proceedings of the International Computer Music Conference (ICMC'2001), La Habana, Cuba, edited by A. Schloss and R. Dannenberg, (International Computer Music Association, San Fransisco), pp. 294-297, 2001.

Cambouropoulos E.: Pattern Processing in Melodic Sequences: Challenges, Caveats and Prospects, Computers and the Humanities, 35(1), 9-21, 2001.
http://www.kluweronline.com

Cambouropoulos E.: Melodic Cue Abstraction, Similarity, and Category Formation: A Formal Model, Music Perception, 18(3), 347-370, 2001.

Cambouropoulos E.: The Local Boundary Detection Model (LBDM) and its Application in the Study of Expressive Timing, Proceedings of the International Computer Music Conference (ICMC'2001), La Habana, Cuba, edited by A. Schloss and R. Dannenberg, (International Computer Music Association, San Fransisco), pp. 290-293, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-11

Cambouropoulos E.: Automatic Pitch Spelling: From Numbers to Sharps and Flats, Proceedings of the VII Brasilian Symposium on Computer Music, 31 July - 3 Aug. 2001, Fortaleza, Brasil, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-12

Cambouropoulos E., Dixon S., Goebl W., Widmer G.: Human Preferences for Tempo Smoothness, Proceedings of the 7th International Symposium on Systematic and Comparative Musicology and the 3rd International Conference on Cognitive Musicology, Jyvaeskylae, Finland, 16-19 August 2001, pp 18-26, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-16

Cambouropoulos E., Widmer G.: Automatic Motivic Analysis via Melodic Clustering, Journal of New Music Research, 29(4), 303-317, 2001.

Dixon S.: Learning to Detect Onsets of Acoustic Piano Tones, MOSART Workshop on Current Research Directions in Computer Music, edited by C. L. Buyoli and R. Loureiro, (Audiovisual Institute, Pompeu Fabra University, Barcelona, Spain), p. 147-151, 2001.

Dixon S.: Automatic Extraction of Tempo and Beat from Expressive Performances, Journal of New Music Research, 30(1), 39-58, 2001.

Dixon S.: An Empirical Comparison of Tempo Trackers, 8th Brazilian Symposium on Computer Music, pp 832-840, 21st Congress of the Brazilian Computer Society, 2001.

Dixon S.: An Interactive Beat Tracking and Visualisation System, Proceedings of the International Computer Music Conference (ICMC'2001), La Habana, Cuba, edited by A. Schloss and R. Dannenberg, (International Computer Music Association, San Fransisco), pp. 215-218, 2001.

Dixon S., Goebl W., Cambouropoulos E.: Beat Extraction from Expressive Musical Performances, 2001 Meeting of the Society for Music Perception and Cognition (SMPC2001), Kingston, Ontario, Canada, pp. 62-63, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-22

Goebl W.: Melody lead in piano performance: Expressive device or artifact?, Journal of the Acoustical Society of America, 110(1), 563-572, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-26

Goebl W., Bresin R.: Are computer-controlled pianos a reliable tool in music performance research? Recording and reproduction precision of a Yamaha Disklavier grand piano, MOSART Workshop on Current Research Directions in Computer Music, November 15-17, 2001, edited by C. L. Buyoli and R. Loureiro, (Audiovisual Institute, Pompeu Fabra University, Barcelona, Spain), pp. 45-50, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-27

Goebl W., Dixon S.: Analysis of Tempo Classes in Performances of Mozart Sonatas, Proceedings of the 7th International Symposium on Systematic and Comparative Musicology and the 3rd International Conference on Cognitive Musicology, Jyvaeskylae, Finland, 16 - 19 August 2001, pp 65-76, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-23

Goebl W., Parncutt R.: Perception of onset asynchronies: Acoustic piano versus synthesized complex versus pure tones, Meeting of the Society for Music Perception and Cognition (SMPC2001), August 9-11, 2001, Queens's University, Kingston, Ontario, Canada, pp. 21-22, 2001.
http://www.ofai.at/~werner.goebl/papers/goebl_parncutt_smpc2001.pdf

Langner J., Goebl W.: Was kennzeichnet die Interpretation eines guten Musikers? Die integrierte Analyse von Tempo- und Lautstaerkegestaltung und ihre musikpaedagogischen Anwendungsperspektiven, Multimedia als Gegenstand musikpaedagogischer Forschung, 5.-7. Okt. 2001, Regensburg, Germany, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-28

Stamatatos E.: A Computational Model for Discriminating Music Performers, MOSART Workshop on Current Research Directions in Computer Music, edited by C. L. Buyoli and R. Loureiro, (Audiovisual Institute, Pompeu Fabra University, Barcelona, Spain), pp. 65-69, 2001.

Tobudic A.: Identifikation von Noten und Akkorden in Audiosignalen, Institut fuer Medizinische Kybernetik und Artificial Intelligence, Universitaet Wien, 2001.

Widmer G.: Using AI and Machine Learning to Study Expressive Music Performance: Project Survey and First Report, AI Communications, 14(3), 149-162, 2001.
http://www.ofai.at/cgi-bin/tr-online?number+2001-06

Widmer G.: Inductive Learning of General and Robust Local Expression Principles, Proceedings of the International Computer Music Conference (ICMC'2001), edited by A. Schloss and R. Dannenberg, (International Computer Music Association, San Francisco), pp. 322-329, 2001.

Widmer G., Dixon S., Goebl W., Stamatatos E., Tobudic A.: Empirical Music Performance Research: OeFAI's Position, MOSART Workshop on Current Research Directions in Computer Music, Audiovisual Institute, Pompeu Fabra University, Barcelona, Spain, 2001.
http://www.oefai.at/oefai/ml/music/OEFAI_position_statement.pdf

2000

Birmingham W.P., Dannenberg R.B., Widmer G. (eds.): AAAI'2000 Workshop on Artificial Intelligence and Music (Workshop Notes), 17th National Conference on Artificial Intelligence (AAAI'2000), 2000.

Bresin R.: Virtual Virtuosity: Studies in Automatic Music Performance, Speech Music and Hearing, Royal Institute of Technology (KTH), 2000.

Bresin R., Widmer G.: Production of Staccato Articulation in Mozart Sonatas Played on a Grand Piano. Preliminary Results, Speech, Music, and Hearing. Quarterly Progress and Status Report, 41(4/2000), 1-6, 2000.

Cambouropoulos E.: Extracting 'Significant' Patterns from Musical Strings: Some Interesting Problems, Invited Paper presented at London String Days (LSD2000), April 2000, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-14

Cambouropoulos E.: Melodic Cue Abstraction, Similarity and Category Formation: A Computational Approach, Proceedings of ICMPC 2000 (International Conference on Music Perception and Cognition), Keele, U.K., 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-16

Cambouropoulos E.: From MIDI to Traditional Musical Notation, Proceedings of the AAAI'2000 Workshop on Artificial Intelligence and Music, Austin, TX, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-15

Cambouropoulos E.: Score Extraction from MIDI Files, Proceedings of the 13th Colloquium on Musical Informatics (CIM'2000), L'Aquila, Italy, 2000.

Cambouropoulos E., Widmer G.: Melodic Clustering: Motivic Analysis of Schumann's Traeumerei, Journal of New Music Research, 29(4), 347-370, 2000.

Cambouropoulos E., Widmer G.: Melodic Clustering: Motivic Analysis of Schumann's Traeumerei, Proceedings of JIM 2000 (Journies d'Informatique Musicale), Bordeaux, France., 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-13

Dixon S.: A Lightweight Multi-Agent Musical Beat Tracking System, Proceedings of the 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, 2000.

Dixon S.: On the Computer Recognition of Solo Piano Music, Interfaces: Australasian Computer Music Conference 2000, Brisbane, Australia, July 2000., 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-24

Dixon S.: Extraction of Musical Performance Parameters from Audio Data, First IEEE Pacific-Rim Conference on Multimedia (PCM2000), Sydney, Australia, December 2000., 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-25

Dixon S., Cambouropoulos E.: Beat Tracking with Musical Knowledge, Proceedings of the 14th European Conference on Artificial Intelligence (ECAI-2000), IOS Press, Amsterdam, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-09

Goebl W.: Skilled piano performance: Melody lead caused by dynamic differentiation, Proceedings of the 6th International Conference on Music Perception and Cognition (ICMPC6), Aug 5-10, 2000, Keele University, UK, pp. 1165-1176, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-11

Kroiss W.: Parameteroptimierung fuer ein Modell des musikalischen Ausdrucks mittels genetischer Algorithmen, Institut fuer Med.Kybernetik u. AI, Universitaet Wien, 2000.

Widmer G.: Learning about Musical Expression via Machine Learning: A Status Report, in Birmingham W.P., et al.(eds.), AAAI'2000 Workshop on Artificial Intelligence and Music (Workshop Notes), 17th National Conference on Artificial Intelligence (AAAI'2000), 2000.

Widmer G.: Large-scale Induction of Expressive Performance Rules: First Quantitative Results, Proceedings of the International Computer Music Conference (ICMC'2000), International Computer Music Association, San Francisco, CA, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+2000-19

Widmer G.: On the Potential of Machine Learning for Music Research, in Miranda E.(ed.), Readings in Music and Artificial Intelligence, Harwood Academic Publishers, Amsterdam, pp. 69-84, 2000.
http://www.ofai.at/cgi-bin/tr-online?number+97-28

1999

Cambouropoulos E., Crawford T., Iliopoulos C.S.: Pattern Processing in Melodic Sequences: Challenges, Caveats and Prospects, Proceedings of the AISB'99 Convention (Artificial Intelligence and Simulation of Behaviour), 6-9 April 1999, Edinburgh, U.K., Society for the Study of Artificial Intelligence and Simulation of Behaviour., 1999.
http://www.ofai.at/cgi-bin/tr-online?number+99-22

Cambouropoulos E., Crochemore M., Iliopoulos C.S., Mouchard L., Pinzon J.: Algorithms for Computing Approximate Repetitions in Musical Sequences, Proceedings of the AWOCA'99 Workshop (Australasian Workshop on Combinatorial Algorithms), 25-27 August 1999, Perth, Curtin University Press, 1999.
http://www.ofai.at/cgi-bin/tr-online?number+99-23

Cambouropoulos E., Smaill A., Widmer G.: A Clustering Algorithm for Melodic Analysis, Proceedings of the Diderot'99 Forum on Mathematics and Music, 1-4 December 1999, Vienna., Oesterreichische Computer Gesellschaft, 1999.
http://www.ofai.at/cgi-bin/tr-online?number+99-24

Dixon S.: A Beat Tracking System for Audio Signals, in Feichtinger H.G. and Doerfler M.(eds.), DIDEROT FORUM on Mathematics and Music, Computational and Mathematical Methods in Music, Vienna, Austria, December 2-4, 1999, Oesterreichische Computer Gesellschaft, pp.101-110, 1999.

Goebl W.: Analysis of Piano Performance: Towards a Common Performance Standard?, Abstract presented at the Society for Music Perception and Cognition Meeting (SMPC'99), August 14-17, 1999, Evanston, Illinois, 1999.

Goebl W.: Numerisch-klassifikatorische Interpretationsanalyse mit dem 'Boesendorfer Computerfluegel'., Diplomarbeit, 1999.
http://www.ofai.at/~werner.goebl/papers/diplomarbeit_I.pdf

1998

Widmer G.: Applications of Machine Learning to Music Research: Empirical Investigations into the Phenomenon of Musical Expression, in Michalski R.S., et al.(eds.), Machine Learning and Data Mining: Methods and Applications, Wiley, Chichester/London/New York, 269-293, 1998.

1996

Widmer G.: What Is It That Makes It a Horowitz? Empirical Musicology via Machine Learning, in Wahlster W.(ed.), Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), Wiley, Chichester/London/New York, 1996.

Widmer G.: Learning Expressive Performance: The Structure-Level Approach, Journal of New Music Research, 25(2), 179-205, 1996.

1995

Widmer G.: A Machine Learning Analysis of Expressive Timing in Pianists' Performances of Schumann's "Traeumerei", Proc. of Stockholm Symposium on Generative Grammars for Music Performance, Royal Institute of Technology (KTH), Stockholm, 1995.

Widmer G.: Modelling the Rational Basis of Musical Expression, Computer Music Journal, 19(2), 76-96, 1995.

1994

Widmer G.: The Synergy of Music Theory and AI: Learning Multi-Level Expressive Interpretation, in Proceedings of the 12th National Conference on Artificial Intelligence, AAAI Press/MIT Press, Cambridge/Menlo Park, pp.114-119, 1994.

Widmer G.: Studying Musical Expression with AI and Machine Learning: "Analysis by Resynthesis", in Sundberg J.(ed.), Proceedings of the Aarhus Symposium on Generative Grammars for Music Performance, Royal Institute of Technology (KTH), 1994.

Widmer G.: Learning Expression at Multiple Structural Levels, Proc. of International Computer Music Conference (ICMC-94), 1994.

1993

Widmer G.: Understanding and Learning Musical Expression, Proc. of International Computer Music Conference (ICMC-93), Tokyo, Japan, 1993.