Optical Music Recognition Bibliography

While some effort was made to link to free versions of these papers, many are behind pay walls and require an individual or institutional subscription to access them. This page was largely constructed from earlier bibliographies by Ichiro Fujinaga and Kia Ng, but expanded to cover sources since 2004.

Updates and omissions may be forwarded to Andrew Hankinson.

Author Date Title Publication Info
Akiyama, T., and N. Hagita 1990 Automated entry system for printed documents Pattern Recognition 23 (11): 1141-54.
Alphonce, B., B. Pennycook, I. Fujinaga, and N. Boisvert 1988 Optical music recognition: A progress report Proceedings of the Small Computers in the Arts 8-12.
Andronico, A., and A. Ciampa 1982 On automatic pattern recognition and acquisition of printed music Proceedings of the International Computer Music Conference 245-78.
Anquetil, E., B. Coüasnon, and F. Dambreville 2000 A symbol classifier able to reject wrong shapes for document recognition systems Graphics recognition recent advances, edited by Atul K. Chhabra, and D. Dori. Berlin: Springer.
Anstice, J., T. Bell, A. Cockburn, and M. Setchell 1996 The design of a pen-based musical input system Proceedings Sixth Australian Conference on Computer-Human Interaction 260-67.
Aoyama, H., and A. Tojo 1982 Automatic recognition of music score (in japanese) Electronic Image Conference Journal 11 (5): 427-35.
Aoyama, H., and A. Tojo 1982 Automatic recognition of printed music (in japanese) Institute of Electronics and Communications Engineers of Japan (IECE) TG PREL82-5 33-40.
Armand, J. P. 1993 Musical score recognition: A hierarchical and recursive approach Proceedings of the Second International Conference on Document Analysis and Recognition (Cat. No.93TH0578-5) 906-09.
Bacon, R. A., and N. P. Carter 1988 Recognising music automatically Physics Bulletin 39 265.
Bainbridge, D. 1991 Preliminary experiments in musical score recognition B.Eng diss., University of Edinburgh.
Bainbridge, D. 1994 A complete optical music recognition system: Looking to the future
Bainbridge, D. 1994 Optical music recognition: Progress report 1 Department of Computer Science, University of Canterbury, NZ.
Bainbridge, D. 1995 Optical music recognition: Progress report 2 Department of Computer Science, University of Canterbury, NZ.
Bainbridge, D. 1996 Optical music recognition: A generalised approach Proceedings of the Second New Zealand Computer Science Graduate Conference.
Bainbridge, D. 1997 Extensible optical music recognition Ph.D diss., University of Canterbury.
Bainbridge, D., and T. Bell 1996 An extensible optical music recognition system Australian Computer Science Communications 18 (1): 308-17.
Bainbridge, D., and T. Bell 2001 The challenge of optical music recognition Computers and the Humanities 35 (2): 95-121.
Bainbridge, D., and T. Bell 2003 A music notation construction engine for optical music recognition Software: Practice and Experience 33 (2): 173-200.
Bainbridge, D., and T. Bell 2006 Identifying music documents in a collection of images Proceedings of the Seventh International Conference on Music Information Retrieval (ISMIR), at Victoria, BC.
Bainbridge, D., and T. C. Bell 1997 Dealing with superimposed objects in optical music recognition Proceedings of the Sixth International Conference on Image Processing and its Applications, 756-60.
Bainbridge, D., and N. Carter 1997 Automatic reading of music notation Handbook of character recognition and document image analysis, edited by H. Bunke, and P. Wang. Singapore: World Scientific.
Bainbridge, D., and S. Inglis 1998 Musical image compression Proceedings of the Data Compression Conference, at Snowbird, UT. 209–18.
Bainbridge, D., C. Nevill-Manning, I. Witten, L. Smith, and R. McNab 1999 Towards a digital library of popular music Proceedings of the ACM Conference on Digital Libraries, at Berkeley, CA. 161-69.
Bainbridge, D., and K. Wijaya 1999 Bulk processing of optically scanned music Proceedings of the Seventh International Conference on Image Processing and Its Applications, at Manchester, UK. 474-78.
Barton, L. 2002 The neumes project: Digital transcription of medieval chant manuscripts Proceedings of the Web Delivering of Music (WEDELMUSIC), at Darmstadt, Germany. 211–18.
Barton, L., J. Caldwell, and P. Jeavons 2005 E-library of medieval chant manuscript transcriptions Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries (JCDL), at Denver, CO. 320–29.
Baumann, S. 1993 Document recognition of printed scores and transformation into midi Proceedings of the Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH (DFKI), at Kaiserslautern.
Baumann, S. 1995 A simplified attributed graph grammar for high-level music recognition Proceedings of the Third International Conference on Document Analysis and Recognition 2 1080-83.
Baumann, S., and A. Dengel 1992 Transforming printed piano music into midi Proceedings of International Workshop on Structural and Syntactic Pattern Recognition 363-72.
Baumann, S., and K. Tombre 1995 Report of the line drawing and music recognition working group World Scientific,
Bellini, P., I. Bruno, and P. Nesi 2001 Optical music sheet segmentation Proceedings of the First International Conference on Web Delivering of Music (WEDELMUSIC), at Florence, Italy. 183–90.
Bellini, P., I. Bruno, and P. Nesi 2004 An off-line optical music sheet recognition Visual perception of music notation: Online and offline recognition, edited by S George. Hershey, PA: IRM Press.
Bellini, P., I. Bruno, and P. Nesi 2007 Assessing optical music recognition tools Computer Music Journal 31 (1): 68-93.
Bellini, P., I. Bruno, and P. Nesi 2008 Optical music recognition: Architecture and algorithms Interactive multimedia music technologies, edited by K. Ng, and P Nesi. Hershey, PA: Information Science Reference.
Beran, T. 1997 Rozpoznavani notoveho zapisu (in czech) BSc Report diss., Czech Technical University.
Beran, T. 1999 Rozpoznavani notoveho zapisu (in czech) MSc Report diss., Czech Technical University.
Beran, T., and T. Macek 1999 Recognition of printed music score Machine learning and data mining in pattern recognition, Berlin: Springer.
Blostein, D., and L. Haken 1991 Justification of printed music Communications of the ACM 34 (3): 88–99.
Blostein, D., and H. S. Baird 1992 A critical survey of music image analysis Structured document image analysis, edited by H. S. Baird, H. Bunke, and K. Yamamoto. Berlin: Springer.
Blostein, D., and N. Carter 1992 Recognition of music notation: Sspr '90 working group report Structured document image analysis, edited by H. Baird, H. Bunke, and K. Yamamoto. Berlin: Springer Verlag.
Blostein, D., and L. Haken 1990 Template matching for rhythmic analysis of music keyboard input Proceedings of 10th International Conference on Pattern Recognition 767-70.
Blostein, D., and L. Haken 1999 Using diagram generation software to improve diagram recognition: A case study of music notation IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (11): 1121-36.
Bruder, I., A. Finger, A. Heuer, and T. Ignatova 2003 Towards a digital document archive for historical handwritten music scores Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access. Berlin: Springer. 411–4.
Bulis, A., R. Almog, M. Gerner, and U. Shimony 1992 Computerized recognition of hand-written musical notes Proceedings of the International Computer Music Conference 110-12.
Bullen, A. 2008 Bringing sheet music to life: My experiences with OMR code4lib Journal 3
Burgoyne, J., J. Devaney, L. Pugin, and I. Fujinaga 2008 Enhanced bleedthrough correction for early music documents with recto-verso registration Proceedings of the Conference of the International Society for Music Information Retrieval (ISMIR), at Philadelphia, PA. 407–12.
Burgoyne, J., Y. Ouyang, T. Himmelman, J. Devaney, L. Pugin, and I. Fujinaga 2009 Lyric extraction and recognition on digital images of early music sources Proceedings of the 10th International Society for Music Information Retrieval (ISMIR), at Kobe, Japan. 723–27.
Burgoyne, J., L. Pugin, G. Eustace, and I. Fujinaga 2007 A comparative survey of image binarisation algorithms for optical recognition on degraded musical sources Proceedings of the Eighth International Conference on Music Information Retrieval (ISMIR), at Vienna, Austria. 509–12.
Byrd, D., W. Guerin, M. Schindele, and I. Knopke Forthcoming. OMR evaluation and prospects for improved OMR via multiple recognizers
Byrd, D., and M. Schindele 2006 Prospects for improving OMR with multiple recognizers Seventh International Conference on Music Information Retrieval (ISMIR) 41–46.
Caldas Pinto, J., P. Vieira, M. Ramalho, M. Mengucci, P. Pina, and F. Muge 2000 Ancient music recovery for digital libraries Research and advanced technology for digital libraries, Berlin: Springer.
Caldas Pinto, J., P. Vieira, and J. Sousa 2003 A new graph-like classification method applied to ancient handwritten musical symbols International Journal on Document Analysis and Recognition 6 (1): 10-22.
Capitaine, T., E. Mouaddib, H. Trannois, and A. Lebrun 1995 Automatic recognition of musical scores Second Asian Conference on Computer Vision 1 422-24.
Cardoso, J., A. Capela, A. Rebelo, C. Guedes, and I. Porto 2008 A connected path approach for staff detection on a music score Proceedings of the 15th IEEE International Conference on Image Processing, 1005-08.
Cardoso, J., A. Rebelo 2010 Robust Staffline Thickness and Distance Estimation in Binary and Gray-Level Music Scores Proceedings of the 20th International Conference on Pattern Recognition, 1856-9.
Carter, N. 1991 Automatic recognition and related topics: Guildford, University of Surrey Computing in Musicology 7 109–11.
Carter, N., R. Bacon, and T. Messenger 1988 The acquisition, representation and reconstruction of printed music by computer: A review Computers and the Humanities 22 (2): 117-36.
Carter, N., and R. Bacon 1992 Automatic recognition of printed music Structured document image analysis, edited by H. Baird, H. Bunke, and K. Yamamoto. Berlin: Springer.
Carter, N. P. 1989 Automatic recognition of printed music in the context of electronic publishing Ph.D diss., University of Surrey.
Carter, N. P. 1992 A new edition of walton's faade using automatic score recognition Proceedings of International Workshop on Structural and Syntactic Pattern Recognition 352-62.
Carter, N. P. 1992 Segmentation and preliminary recognition of madrigals notated in white mensural notation Machine Vision and Applications 5 (3): 223-30.
Carter, N. P. 1994 Conversion of the haydn symphonies into electronic form using automatic score recognition: A pilot study Proceedings of SPIE 2181 279-90.
Carter, N. P. 1994 Music score recognition: Problems and prospects Computing in Musicology 9 152-58.
Carter, N. P. 1993 A generalized approach to automatic recognition of music scores Department of Music, Stanford University,
Carter, N. P., and R. A. Bacon 1990 Automatic recognition of music notation Proceedings of the International Association for Pattern Recognition Workshop on Syntactic and Structural Pattern Recognition 482.
Castro, P., R. Almeida, and J. Caldas Pinto 2008 Restoration of double-sided ancient music documents with bleed-through Progress in pattern recognition, image analysis and applications, Berlin: Springer.
Castro, P., and J. Caldas Pinto 2007 Methods for written ancient music restoration Image analysis and recognition, Berlin: Springer.
Chhabra, A. 1998 Graphic symbol recognition: An overview Graphics recognition algorithms and systems, Berlin: Springer.
Cho, K. J., and K. E. Cho 1996 Recognition of piano score using skeletal lines and run-length information Journal of KISS(C) (Computing Practices) 2 (4): 461-73.
Choi, J. 1991 Optical recognition of the printed musical score MS diss., University of Illinois at Chicago.
Choudhury, G., T. Dilauro, M. Droettboom, I. Fujinaga, and K. Macmillan 2001 Strike up the score D-Lib Magazine 7
Choudhury, G., T. DiLauro, R. Ferguson, M. Droettboom, and I. Fujinaga 2006 Document recognition for a million books D-Lib Magazine 12 (3):
Choudhury, G., C. Requardt, I. Fujinaga, T. DiLauro, E. W. Brown, J. W. Warner, and B. Harrington 2000 Digital workflow management: The lester s. Levy digitized collection of sheet music First Monday 5 (6):
Choudhury, G. S., T. DiLauro, M. Droettboom, I. Fujinaga, B. Harrington, and K. MacMillan 2000 Optical music recognition system within a large-scale digitization project Proceedings of the Proceedings ISMIR 00,
Clarke, A., B. Brown, and M. Thorne 1989 Coping with some really rotten problems in automatic music recognition Microprocessing & Microprogramming 27 (1-5): 547-50.
Clarke, A., M. Brown, and M. Thorne 1990 Problems to be faced by developers of computer based automatic music recognisers Proceedings of the International Computer Music Conference 345-47.
Clarke, A. T., B. M. Brown, and M. P. Thorne 1988 Inexpensive optical character recognition of music notation: A new alternative for publishers Proceedings of the Computers in Music Research Conference 84-87.
Clarke, A. T., B. M. Brown, and M. P. Thorne 1988 Using a micro to automate data acquisition in music publishing Microprocessing and Microprogramming 24 549-54.
Clarke, A. T., B. M. Brown, and M. P. Thorne 1993 Recognising musical text Proceedings of the SPIE 2064 222-33.
Clausen, M., and F. Kurth 2004 A unified approach to content-based and fault-tolerant music recognition IEEE Transactions on Multimedia 6 (5): 717–31.
Cordella, L., and M. Vento 2000 Symbol and shape recognition Graphics recognition recent advances, Berlin: Springer.
Coüasnon, B. 1991 Réseaux de neurones appliqués à la reconnaissance de partitions musicales Irisa, Université de Rennes,
Coüasnon, B. 1996 Formalisation grammaticale de la connaissance a priori pour l'analyse de documents : Application aux partitions d'orchestre Reconnaissance des formes et intelligence artificielle 465-74.
Coüasnon, B. 1996 Segmentation et reconnaissance de documents guides par la connaissance a priori : Application aux partitions musicales PhD diss., Universit de Rennes.
Coüasnon, B., and J. Camillerapp 1995 A way to separate knowledge from program in structured document analysis: Application to optical music recognition. International Conference on Document Analysis and Recognition 1092-97.
Coüasnon, B., and J. Camillerapp 1994 Using grammars to segment and recognize music scores International Association for Pattern Recognition Workshop on Document Analysis Systems 15-27.
Coüasnon, B., B. P., and I. Stephan 1995 Using logic programming languages for optical music recognition International Conference on the Practical Application of Prolog 115-34.
Coüasnon, B., and B. Rétif 1995 Using a grammar for a reliable full score recognition system International Computer Music Conference 187-94.
Coüasnon, B., and B. Rétif 1995 Utilisation d'une grammaire dans la reconnaissance de partitions d'orchestre Deuxiémes Journées d'Informatique Musicale 143–52.
Cui, J., H. Huan, and Y. Wang 2010 An adaptive staff line removal in music score images 10th Annual Conference on Signal Processing (ICSP) 964–7.
d'Andecy, V. P. 1993 Segmentation et reconnaissance optique de partitions musicales IRISA/INSA, Rennes, France.
d'Andecy, V. P., J. Camillerapp, and I. Leplumey 1994 Détecteur robuste de segments-application l'analyse de partitions musicales Actes 9 me Congrs AFCET Reconnaissance des Formes et Intelligence Artificielle
d'Andecy, V. P., J. Camillerapp, and I. Leplumey 1994 Kalman filtering for segment detection: Application to music scores analysis Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5) 1 301-05.
Dalitz, C., M. Droettboom, B. Pranzas, and I. Fujinaga 2008 A comparative study of staff removal algorithms IEEE transactions on pattern analysis and machine intelligence 30 (5): 753–66.
Dalitz, C., and T. Karsten 2005 Using the gamera framework for building a lute tablature recognition system Proceedings of the Sixth International Conference on Music Information Retrieval (ISMIR), at London, UK. 478-81.
Dalitz, C., G. Michalakis, and C. Pranzas 2008 Optical recognition of psaltic Byzantine chant notation International Journal on Document Analysis and Recognition 11 (3): 143-58.
Dalitz, C., and B. Pranzas 2009 German lute tablature recognition Proceedings of the 10th International Conference on Document Analysis and Recognition, at Barcelona, Spain. 371–75.
Di Riso, D. 1992 Lettura automatica di partiture musicali Masters diss., Universit di Salerno.
Diener, G. R. 1990 Modeling music notation: A three-dimensional approach PhD diss., Stanford University.
Distasi, R., and e. al. 1993 Automatic system for reading scores Eighth Scandinavian Conference on Image Analysis 1307-10.
Distasi, R., M. Nappi, and S. Vitulano 1993 An automatic system for reading musical scores Proceedings of the Eighth Scandinavian Conference on Image Analysis, 1307-10.
dos Santos Cardoso, J., A. Capela, A. Rebelo, C. Guedes, and J. da Costa 2009 Staff detection with stable paths IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (6): 1134-39.
Droettboom, M. 2003 Correcting broken characters in the recognition of historical printed documents Proceedings of the Joint Conference on Digital Libraries, at Houston, TX. 364-66.
Droettboom, M., I. Fujinaga, K. MacMillan, G. S. Chouhury, T. DiLauro, M. Patton, and T. Anderson 2002 Using the gamera framework for the recognition of cultural heritage materials Proceedings of the Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries, 17.
Droettboom, M., and I. Fujinaga 2001 Interpreting the semantics of music notation using an extensible and object-oriented system Proceedings of the Ninth Python Conference, at Long Beach, CA.
Droettboom, M., and I. Fujinaga 2004 Symbol-level groundtruthing environment for OMR Proceedings of the Fifth International Conference on Music Information Retrieval (ISMIR), at London, UK. 497–500.
Droettboom, M., I. Fujinaga, and K. MacMillan 2002 Optical music interpretation Structural, syntactic and statistical pattern recognition, edited by T. Caelli, A. Amin, R. Duin, M. Kamel, and D. de Ridder. Berlin: Springer.
Fahmy, H. 1991 A graph-grammar approach to high-level music recognition MSc diss., Queen's University.
Fahmy, H., and D. Blostein 1991 A graph grammar for high-level recognition of music notation First International Conference on Document Analysis 1 70-78.
Fahmy, H., and D. Blostein 1992 Graph grammar processing of uncertain data Proceedings of International Workshop on Structural and Syntactic Pattern Recognition 373-82.
Fahmy, H., and D. Blostein 1993 A graph grammar programming style for recognition of music notation Machine Vision and Applications 6 83-99.
Fahmy, H., and D. Blostein 1994 A graph-rewriting approach to discrete relaxation: Application to music recognition Proceedings of the SPIE 2181 291-302.
Fahmy, H., and D. Blostein 1998 A graph-rewriting paradigm for discrete relaxation: Application to sheet-music recognition International Journal of Pattern Recognition and Artificial Intelligence 12 (6): 763-99.
Ferrand, M., and A. Cardoso 1998 Scheduling to reduce uncertainty in syntactical music structures 14th Brazilian Symposium on Artificial Intelligence 249-58.
Ferrand, M., J. A. Leite, and A. Cardoso 1999 Hypothetical reasoning: An application to optical music recognition Proceedings of the Joint Conference on Declarative Programming, at Aquila, Italy. 367-81.
Ferrand, M., J. A. Leite, and A. Cardoso 1999 Improving optical music recognition by means of abductive constraint logic programming Progress in artificial intelligence, Berlin: Springer.
Fischer, K. N. 1978 Computer recognition of engraved music M.S. diss., University of Tennessee.
Fletcher, L. A., and R. Kasturi 1988 A robust algorithm for text string separation from mixed text/graphics images IEEE Transactions on Pattern Analysis and Machine Intelligence 10 (6): 910-18.
Fluhr, C., and J. Abouassly 1988 Music pattern recognition Proceedings of the EEC Concerted Action on "Technology and Blindness", at Toulouse, France.
Fornés, A., J. Lladós, and G. Sánchez 2006 Primitive segmentation in old handwritten music scores Graphics recognition. Ten years review and future perspectives, edited by W. Liu, and J. Lladós. Berlin: Springer.
Fornés, A., J. Lladós, and G. Sánchez 2008 Old handwritten musical symbol classification by a dynamic time warping based method Graphics Recognition. Recent Advances and New Opportunities 51-60.
Fornés, A., J. Lladós, G. Sánchez, and H. Bunke 2009 On the use of textural features for writer identification in old handwritten music scores Proceedings of the 10th International Conference on Document Analysis and Recognition, at Barcelona, Spain. 996-1000.
Fotinea, S., G. Giakoupis, A. Liveris, S. Bakamidis, and G. Carayannis 2000 An optical notation recognition system for printed music based on template matching and high level reasoning Proceedings of the Sixth Recherche d'Informations Assiste par Ordinateur, at Paris, France.
Fremerey, C., M. Meinard, F. Kurth, and M. Clausen 2008 Automatic mapping of scanned sheet music to audio recordings Proceedings of the Ninth Conference of the International Society for Music Information Retrieval (ISMIR), at Philadelphia, PA. 413–18.
Fujimoto, Y. 1985 The keyboard playing robot wabot-2 Bulletin of Science and Engineering Research Laboratory 112
Fujinaga, I. 1992 An optical music recognition system that learns Enabling Technologies for High-Bandwidth Applications SPIE 1785 210-17.
Fujinaga, I. 1988 Optical music recognition using projections M.A diss., McGill University.
Fujinaga, I. 1993 Optical music recognition system which learns Proceedings of the SPIE 1785 210-17.
Fujinaga, I. 1996 Adaptive optical music recognition IEEE Transactions on Systems, Man, and Cybernetics
Fujinaga, I. 1996 Adaptive optical music recognition PhD diss., McGill University.
Fujinaga, I. 1996 Exemplar-based learning in adaptive optical music recognition system International Computer Music Conference 55-56.
Fujinaga, I. 2004 Staff detection and removal Visual perception of music notation: On-line and off-line recognition, edited by S. George. Hershey, PA: IRM Press.
Fujinaga, I., B. Alphonce, G. Diener, and B. Pennycook 1992 Optical music recognition on next workstation Proceedings of the Second International Conference on Music Perception and Cognition, at Los Angeles, CA.
Fujinaga, I., B. Alphonce, and B. Pennycook 1989 Issues in the design of an optical music recognition system Proceedings of the International Computer Music Conference 113-16.
Fujinaga, I., B. Alphonce, and B. Pennycook 1992 Interactive optical music recognition Proceedings of the International Computer Music Conference 117-20.
Fujinaga, I., B. Alphonce, B. Pennycook, and N. Boisvert 1989 Optical recognition of music notation by computer Computers in Music Research 1 161-64.
Fujinaga, I., B. Alphonce, B. Pennycook, and K. Hogan 1991 Optical music recognition: Progress report Proceedings of the International Computer Music Conference, at Montreal, QC. 66-73.
Fujinaga, I., S. Moore, and D. Sullivan 1998 Implementation of exemplar-based learning model for music cognition Proceedings of the International Conference on Music Perception and Cognition, at Seoul, South Korea. 171-79.
Fujinaga, I., B. Pennycook, and B. Alphonce 1989 Computer recognition of musical notation Proceedings of the First International Conference on Music Perception and Cognition, at Kyoto, Japan. 87-90.
Fujinaga, I., B. Pennycook, and B. Alphonce 1991 The optical music recognition project Computers in Music Research 3 139–42.
Gao, S., N. Maddage, and L. Chin-Hui 2003 A hidden Markov model based approach to music segmentation and identification Proceedings of the Joint Conference of the Fourth International Conference on Information, Communications and Signal Processing, and the Fourth Pacific Rim Conference on Multimedia, at Singapore. 1576–80.
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Genfang, C., Z. Wenjun, and W. Qiuqiu 2009 Pick-up the musical information from digital musical score based on mathematical morphology and music notation Proceedings of the First International Workshop on Education Technology and Computer Science, at Wuhan, Hubei. 1141–44.
George, S. 2003 Online pen-based recognition of music notation with artificial neural networks Computer Music Journal 27 (2): 70–79.
George, S. 2004 Evaluation in the visual perception of music notation Visual perception of music notation: On-line and off-line recognition, edited by S. George. Hershey, PA: IRM Press.
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Glass, S. 1989 Optical music recognition Undergraduate Report diss., University of Canterbury.
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Knopke, I., and D. Byrd 2007 Towards MusicDiff: A foundation for improved optical music recognition using multiple recognizers Proceedings of the Eighth Annual Conference of the International Society for Music Information Retrieval (ISMIR), at Vienna, Austria. 121-24.
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