Access to ethnic music: Advances and perspectives in content-based music information retrieval

Signal Processing

Volumn 90, Issue 4, 2010, Pages 1008-1031

  Cornelis, Olmo ^a   Lesaffre, Micheline ^b   Moelants, Dirk ^b   Leman, Marc ^b  

^a UNIVERSITY COLLEGE GHENT   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Access; Ethnomusicology; Music archives; Music information retrieval

Indexed keywords

CONTENT-BASED; CONTENT-BASED METHODS; DIGITAL MUSIC; INTRINSIC PROPERTY; MUSIC COLLECTION; MUSIC INFORMATION RETRIEVAL; SEMANTIC INFORMATION;

DATA PROCESSING; ELECTRONIC MUSICAL INSTRUMENTS; FEATURE EXTRACTION; INFORMATION RETRIEVAL; INFORMATION SERVICES; METADATA;

AUDIO ACOUSTICS;

EID: 72949118862     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.06.020     Document Type: Article

References (95)

1. Casey M.A., et al. Content-based MIR: current directions and future challenges. Proceedings of IEEE 96 4 (2008) 668-695
2. J.G. Herder, Volkslieder, Weimar, 1778.
3. Ellis A.J. On the musical scales of various nations. Journal of the Royal Society of Arts 33 (1885)
4. C. Stumpf, Lieder der Bellakula-Indianer, Vierteljahrschrift für Musikwissenschaft (1886).
5. Wallaschek R. Primitive Music (1893), Longmans, London
6. Kunst J. Musicologica (1950), Royal Tropical Institute, Amsterdam
7. Danielou A. Traité de musicologie comparée (1959), Hermann, Paris
8. B. Nettl, Comparative study and comparative musicology: comments on disciplinary history, in: A. Schneider (Ed.), Systematic and Comparative Musicology: Concepts, Methods, Findings, UITGEVERIJ, Frankfurt, 2008.
9. Tzanetakis G., et al. Computational ethnomusicology. Journal of Interdisciplinary Music Studies 1 2 (2007) 1-24
10. C. Seashore, H. Seashore, The place of phonophotography in the study of primitive music, Science (1934).
11. E.M. von Hornbostel, C. Sachs, Systematik der Musikinstrumente: Ein Versuch, Zeitschrift für Ethnologie (1914).
12. E.M. von Hornbostel, O. Abraham, Vorschläge für die Transkription exotischer Melodien, Sammelbände der Internationalen Musik-Gesellschaft (1909).
13. Lomax A. Cantometrics (1976), University of California, Berkeley
14. Schneider A. Comparative and systematic musicology in relation to ethnomusicology: a historical and methodological survey. Ethnomusicology (2006) 236-258
15. M. Leman, et al., Musical audio mining, in: J. Meij (Ed.), Dealing with the Data Flood: Mining Data, Text and Multimedia, STT Netherlands Study Centre for Technology Trends, Rotterdam, 2002, (ISBN 90-804496-6-0), pp. 440-456.
16. M. Lesaffre, et al., User-dependent taxonomy of musical features as a conceptual framework for musical audio-mining technology, in: Proceedings of the Stockholm Music Acoustics Conference, Stockholm, Sweden, 6-9 August 2003, pp. 635-638.
17. Leman M., et al. Correlation of gestural musical audio cues and perceived expressive qualities. In: Camurri A., and Volpe G. (Eds). Gesture-based Communication in Human-Computer Interaction (2004), Springer, Berlin Heidelberg 40-54
18. Leman M., et al. Prediction of musical affect attribution using a combination of structural cues extracted from musical audio. Journal of New Music Research 34 1 (2005) 39-67
19. Lesaffre M., et al. How potential users of music search and retrieval systems describe the semantic quality of music. Journal of the American Society for Information Science and Technology 59 5 (2008) 1-13
20. M. Lesaffre, Music Information Retrieval: Conceptual Framework, Annotation and User Behavior, 2005, (unpublished Ph.D. Thesis).
21. G. Tzanetakis, et al., Pitch histograms in audio and symbolic music information retrieval, in: Proceedings of Third International Conference on Music Information Retrieval, Paris, France, 13-17 October 2002, pp. 31-38.
22. A. Krishnaswamy, Melodic atoms for transcribing Carnatic music, in: Proceedings of Fifth International Conference on Music Information Retrieval, Barcelona, Spain, 10-15 October 2004, pp. 345-348.
23. A. Nesbit, et al., Towards automatic transcription of Australian aboriginal music, in: Proceedings of Fifth International Conference on Music Information Retrieval, Barcelona, Spain, 10-15 October 2004, pp. 326-330.
24. A. Pikrakis, et al., Music meter and tempo tracking from raw polyphonic audio, in: Proceedings of Fifth International Conference on Music Information Retrieval, Barcelona, Spain, 10-15 October 2004, pp. 192-197.
25. N.M. Norowi, et al., Factors affecting automatic genre classification: an investigation incorporating non-western musical forms, in: Proceedings of Sixth International Conference on Music Information Retrieval, London, UK, 11-15 September 2005, pp. 13-20.
26. I. Antonopoulos, et al., Music retrieval by rhythmic similarity applied on greek and African traditional music, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 297-300.
27. P. Chordia, et al., Extending content-based recommendation: the case of Indian classical music, in: Proceedings of Ninth International Conference on Music Information Retrieval, Philadelphia, USA, 14-18 September 2008, pp. 571-576.
28. S. Doraisamy, et al., A study on feature selection and classification techniques for automatic genre classification of traditional Malay music, in: Proceedings of Ninth International Conference on Music Information Retrieval, Philadelphia, USA, 14-18 September 2008, pp. 331-336.
29. Duda R.O., et al. Pattern Classification (2001), Wiley, New York, Chichester, England
30. O.K. Gillet, G. Richard, Automatic labelling of Tabla Signals, in: Proceedings of Fourth International Conference on Music Information Retrieval, Baltimore, Maryland, USA, 26-30 October 2003.
31. P. Heydarian, J.D. Reiss, The Persian music and the Santur instrument, in: Proceedings of Sixth International Conference on Music Information Retrieval, London, UK, 11-15 September 2005, pp. 524-527.
32. P. Chordia, A. Rae, Raag recognition using pitch-class and pitch-class dyad distributions, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 431-436.
33. A. Kapur, et al., Pedagogical transcription for multimodal sitar performance, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 351-352.
34. R. Ramirez, et al., Performer identification in Celtic violin recordings, in: Proceedings of Ninth International Conference on Music Information Retrieval, Philadelphia, USA, 14-18 September 2008, pp. 483-488.
35. M. Wright, et al., Analyzing Afro-Cuban rhythm using rotation-aware clave template matching with dynamic programming, in: Proceedings of Ninth International Conference on Music Information Retrieval, Philadelphia, USA, 14-18 September 2008, pp. 647-652.
36. H. Penttinen, et al., Aspects on physical modeling of a Chinese string instrument-the guqin, in: Ninth International Congress on Acoustics, Madrid, 2-7 September 2007.
37. Li H., and Leman M. A gesture-based typology of sliding-tones in guqin music. Journal of New Music Research (2007) 61-82
38. Schaffrath H. The essen associative code: a code for folksong analysis. Beyond MIDI: the Handbook of Musical Codes Book Content (1997), MIT Press, Cambridge, MA, USA 343-361
39. E. Gomez, J. Bonada, Automatic melodic transcription of flamenco singing, in: Proceedings of the Fourth Conference on Interdisciplinary Musicology, Thessaloniki, 3-6 July 2008, pp. 66-67.
40. J.J. Cabrera, et al., Comparative melodic analysis of a Cappella Flamenco Cantes, in: Proceedings of the Fourth Conference on Interdisciplinary Musicology, Thessaloniki, 3-6 July 2008, pp. 38-39.
41. A. Krishnaswamy, Multi-dimensional musical atoms in South-Indian classical music, in: Proceedings of ICMPC, 2004.
42. Bozkurt B. An automatic pitch analysis method for turkish maqam music. Journal of New Music Research 37 1 (2008) 1-13
43. D. Moelants, et al., Problems and opportunities of applying data- and audio-mining techniques to ethnic music, in: Proceedings of Seventh International Conference on Music Information Retrieval, Victoria, BC Canada, 8-12 October 2006, pp. 334-336.
44. Moelants D., et al. Problems and opportunities of content-based analysis and description of ethnic music. International Journal of Intangible Heritage (2007) 58-67
45. T. De Mulder, et al., Recent improvements of an auditory model based front-end for the transcription of vocal queries, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Montreal, 2004, pp. 257-260.
46. Mc Kinney M., and Moelants D. Ambiguity in tempo perception: what draws listeners to different metrical levels?. Music Perception 24 2 (2006) 155-165
47. Mc Kinney M., et al. Evaluation of audio beat tracking and music tempo extraction algorithms. Journal of New Music Research 36 1 (2007) 1-16
48. Phillips-Silver J., and Trainor L.J. Vestibular influence on auditory metrical interpretation. Brain and Cognition 67 (2008) 94-102
49. L. Naveda, M. Leman, Representation of Samba dance gestures, using a multi-modal analysis approach, in: Proceedings of Fifth International Conference on Enactive Interfaces, Pisa, European Enactive Network of Excellence ENACTIVE, 2008, pp. 68-74.
50. G. Villoteau, De l'état actuel de l'art musical en Egypte, Paris : Imprimerie de C.L.F Pancroucke, 1826.
51. B.I. Gilman, Hopi Songs, Journal of American Ethnology and Archaeology (1908).
52. Klapuri A., and Davy M. Signal Processing Methods for Music Transcription (2006), Springer, New York, USA
53. J'ard'any P. Experiences and results in systematizing Hungarian folksongs. Studia Musicologica XXII (1974) 17-20
54. Szendrei J. Auf dem wege zu einer neuen stilordnung der ungarischen volksmusik. Studia Musicologica XX (1978) 361-379
55. Bobszay L. Der begriff typus in der ungarischen volksmusikforschung. Studia Musicologica XX (1978) 227-243
56. Csébfalvy K., et al. Systematization of tunes by computers. Studia Musicologica VII (1965) 253-257
57. Juhasz Z. A systematic comparison of different European folk music traditions using self-organizing maps. Journal of New Music Research 35 2 (2006) 95-112
58. Franzke U. Das EsAC-Project. Typological Classification of Tunes, Advanced Systems for Arranging Folklore Stocks, Lithuanian Academy of Music (1996), Department of Ethnomusikology, Vilnius
59. Franzke U. Untersuchungen zur Intervallstatistik des deutschen Volksliedes mit Hilfe des EsAC-Systems. Typological Classification of Tunes, Advanced Systems for arranging Folklore Stocks, Lithuanian Academy of Music (1996), Department of Ethnomusikology, Vilnius
60. U. Franzke, H. Schaffrath, PAT-Ein Patternsuchprogramm für Essener und andere Software, Handbuch, Universität Essen, 1991.
61. P. Vankranenburg, et al., Towards Integration of Mir and Folk Song Research, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 505-508.
62. Juhasz Z. Contour analysis of Hungarian folk music in a multidimensional metric-space. Journal of New Music Research 29 1 (2000) 71-83
63. Juhasz Z. A model of variation in the music of a Hungarian ethnic group. Journal of New Music Research 29 2 (2000) 159-172
64. P. Toiviainen, T. Eerola, Visualization in comparative music research, in: A. Rizzi and M. Vichi (Eds.), Proceedings in Computational Statistics. Physica-Verlag, Heidelberg, 2006, pp. 209-221.
65. Juhasz Z. Analysis of melody roots in Hungarian folk music using self-organizing maps with adaptively weighted dynamic time warping. Applied Artificial Intelligence 21 1 (2007) 35-55
66. Csébfalvy K., et al. Systematization of tunes by computers. Studia Musicologica VII (1965) 253-257
67. Dobszay L., and Szendrei J. Catalogue of Hungarian Folksong Types (1992), Institute of Musicology, Budapest
68. Hewlet W.B., and Selfridge-Field E. Music query. Methods, models and user studies. Computing in Musicology 13 (2004) 183
69. P. van Kranenburg, et al., Towards integration of music information retrieval and folk song research department of information and computing sciences, Utrecht University Technical Report UU-CS-2007-016, www.cs.uu.nl, ISSN: 0924-3275.
70. D. Mullensiefen, K. Frieler, Optimizing measures of melodic similarity of folk songs, in: Proceedings of Fifth International Conference on Music Information Retrieval, Barcelona, Spain, 10-15 October 2004, pp. 274-280.
71. J. Garbers, et al., Using pitch stability among a group of aligned query melodies to retrieve unidentified variant melodies, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 451-456.
72. A. Volk, et al., A manual annotation method for melodic similarity and the study of melody feature sets, in: Proceedings of Ninth International Conference on Music Information Retrieval, Philadelphia, USA, 14-18 September 2008, pp. 101-106.
73. P. Toivianen, T. Eerola, Classification of musical metre with autocorrelation and discriminant functions, in: Proceedings of Sixth International Conference on Music Information Retrieval, London, UK, 11-15 September 2005, pp. 351-357.
74. A. Volk, et al., Applying rhythmic similarity based on inner metric analysis to folk music, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 293-296.
75. G.T. Toussaint, A comparison of rhythmic similarity measures, in: Proceedings of Fifth International Conference on Music Information Retrieval, Barcelona, Spain, 10-15 October 2004, pp. 242-245.
76. Gustafson K. The graphical representation of rhythm. (PROPH) Progress Reports from Oxford Phonetics vol. 3 (1988), University of Oxford 6-26
77. K. Frieler, Visualizing music on the metrical circle, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 291-292.
78. Uitdenbogerd L.A., and Suyoto I.H. Microtonal matching with MTRI. In: Hewlett W.B., and Selfridge-Field E. (Eds). Computing in Musicology vol. 14 (2006), MIT Press, Cambridge, MA 334-341
79. Audio-file transfer and exchange-file format for transferring digital audio data between systems of different type and manufacture, AES31-2-2006: AES standard on network and file transfer of audio, 2006.
80. Koch L.-C., et al. The Berlin phonogramm-archiv: a treasury of sound recordings. Acoustical Science and Technology 25 4 (2004) 227-231
81. N. Corthaut, et al., Connecting the dots: music metadata generation, in: Proceedings of Ninth International Conference on Music Information Retrieval, Philadelphia, USA, 14-18 September 2008, pp. 249-254.
82. C. Lai, et al., Metadata infrastructure for sound recordings, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 157-158.
83. C. Lai, I. Fujinaga, Metadata data dictionary for analogue sound recordings, in: Proceedings of the Joint Conference on Digital Libraries. Chapel Hill, NC, 2006, p. 344.
84. O. Cornelis, et al., Development and Possibilities of a Digital Database for Ethnic Musical Metadata; From obvious to oblivion, in: Proceedings of the Fifth incontro biennale internazionale sul restauro audio, Treviso, Italy, 6-7 October 2006, in press.
85. De Tré G., et al. Aggregating constraint satisfaction degrees expressed by possibilistic truth values. IEEE Transactions on Fuzzy Systems 11 3 (2003) 361-368
86. G. De Tré, et al., Ranking the possible alternatives in flexible querying: an extended possibilistic approach, in: Lecture Notes In Computer Science, vol. 2869, 2003, pp. 204-211.
87. Fingerhut M. Real music libraries in the virtual future: for an integrated view of music and music information. In: Leman M., and Cornelis O. (Eds). Digitale Bibliotheken voor muzikale audio (2005), KVAB, Belgium 73-81
88. R. Leydi, L'altre Musica, (Ed.), Giunti Ricordi, Milan, 1991.
89. G. Adler, Unfang, Vierteljahrschrift für Musikwissenschaft 1, 1895.
90. A. Seeger, Dealing with the ethical and legal constraints of information access, in: Proceedings of Fourth International Conference on Music Information Retrieval, Baltimore, Maryland, USA, 26-30 October 2003.
91. C. Landone, et al., Enabling access to sound archives through integration, enrichment and retrieval: the EASAIER Project, in: Proceedings of Eighth International Conference on Music Information Retrieval, Vienna, Austria, 23-30 September 2007, pp. 159-160.
92. J. Futrelle, J.S. Downie, Interdisciplinary communities and research issues in music information retrieval, in: Proceedings of Third International Conference on Music Information Retrieval, Paris, France, 13-17 October 2002, pp. 215-221.
93. J.S. Downie, Toward the scientific evaluation of music information retrieval systems, in: Proceedings of Fourth International Conference on Music Information Retrieval, Baltimore, Maryland, USA, 26-30 October 2003, pp. 25-32.
94. Sethares W.A. Tuning, Timbre, Spectrum, Scale (1998), Springer, London, New York
95. O. Cornelis, et al., Development and Possibilities of a Digital Database for Ethnic Musical Metadata; From obvious to oblivion, in: Proceedings of the Fifth incontro biennale internazionale sul restauro audio, Treviso, Italy, 6-7 October 2006, in press.