Camus, R. (1996) Early American wind and ceremonial music, 1636–1836: phase 2 of the National Tune Index (electronic version). Notes, 52, 723–43.
Early American wind and ceremonial music, 1636–1836: phase 2 of the National Tune Index (electronic version)
Notes
52
723
43
Coates, P. (1998) MeloDex: indexing hymn tunes. The Indexer, 21(1), 37.
MeloDex: indexing hymn tunes
The Indexer
21
37
Jenkins, M. (2001) A descriptive study of subject indexing and abstracting in International Index to Music Periodicals, RILM Abstracts of Music Literature, and The Music Index Online (electronic version). Notes, 57(4), 834–63.
A descriptive study of subject indexing and abstracting in International Index to Music Periodicals, RILM Abstracts of Music Literature, and The Music Index Online (electronic version)
Notes
57
834
63
Lo, Y. L., Lee, C. H., and Wang, C. H. (2009) Scalable multifeature index structure for music databases. Information Sciences, 179(15), 2662–75.
Scalable multifeature index structure for music databases
Information Sciences
179
2662
75
Myers, J. (1995) Music: special characteristics for indexing and cataloguing. The Indexer, 19, 269–74. Available at: http://www.theindexer.org/files/19-4/19-4_269.pdf
Perry, H. (1989) Musical bumps: indexing musical terms. The Indexer, 16, 251–3. Available at: http://www.theindexer.org/files/16-4/16-4_251.pdf
Rein, S. and Reisslein, M. (2006) Identifying the classical music composition of an unknown performance with waveletdispersion vector and neural nets]. Information Sciences, 176(12), 1629–55.
Identifying the classical music composition of an unknown performance with waveletdispersion vector and neural nets]
Information Sciences
176
1629
55
Shakra, I., Frederico, G., and El Saddik, A. (2004) Music Indexing and Retrieval. IEEE International Conference on Virtual Environments, Human–Computer Interfaces, and Measurement Systems. Boston, Mass.
Music Indexing and Retrieval
Smiraglia, R. P. (June 2002). Musical works and information retrieval. Notes, 58(4), 747–64.
Musical works and information retrieval
Notes
58
747
64
Tang, M., Lap, Y. C., and Kao, B. (2000) Selection of melody lines for music databases. IEEE Multimedia, 243–8.
Selection of melody lines for music databases
IEEE Multimedia
243
8
Wieczorkowska, A. and Zytkow, J. (2003) Analysis of feature dependencies in sound description. Journal of Intelligent Information Systems, 20(3), 285–302.
Analysis of feature dependencies in sound description
Journal of Intelligent Information Systems
20
285
302
You, J., Park, S., and Kim, I. (2008) An efficient frequent melody indexing method to improve the performance of query-byhumming systems. Journal of Information Science, 34(6), 777–98.
An efficient frequent melody indexing method to improve the performance of query-byhumming systems
Journal of Information Science
34
777
98
Camus, R. (1996) Early American wind and ceremonial music, 1636–1836: phase 2 of the National Tune Index (electronic version). Notes, 52, 723–43.
Early American wind and ceremonial music, 1636–1836: phase 2 of the National Tune Index (electronic version)
Notes
52
723
43
Coates, P. (1998) MeloDex: indexing hymn tunes. The Indexer, 21(1), 37.
MeloDex: indexing hymn tunes
The Indexer
21
37
Jenkins, M. (2001) A descriptive study of subject indexing and abstracting in International Index to Music Periodicals, RILM Abstracts of Music Literature, and The Music Index Online (electronic version). Notes, 57(4), 834–63.
A descriptive study of subject indexing and abstracting in International Index to Music Periodicals, RILM Abstracts of Music Literature, and The Music Index Online (electronic version)
Notes
57
834
63
Lo, Y. L., Lee, C. H., and Wang, C. H. (2009) Scalable multifeature index structure for music databases. Information Sciences, 179(15), 2662–75.
Scalable multifeature index structure for music databases
Information Sciences
179
2662
75
Myers, J. (1995) Music: special characteristics for indexing and cataloguing. The Indexer, 19, 269–74. Available at: http://www.theindexer.org/files/19-4/19-4_269.pdf
Perry, H. (1989) Musical bumps: indexing musical terms. The Indexer, 16, 251–3. Available at: http://www.theindexer.org/files/16-4/16-4_251.pdf
Rein, S. and Reisslein, M. (2006) Identifying the classical music composition of an unknown performance with waveletdispersion vector and neural nets]. Information Sciences, 176(12), 1629–55.
Identifying the classical music composition of an unknown performance with waveletdispersion vector and neural nets]
Information Sciences
176
1629
55
Shakra, I., Frederico, G., and El Saddik, A. (2004) Music Indexing and Retrieval. IEEE International Conference on Virtual Environments, Human–Computer Interfaces, and Measurement Systems. Boston, Mass.
Music Indexing and Retrieval
Smiraglia, R. P. (June 2002). Musical works and information retrieval. Notes, 58(4), 747–64.
Musical works and information retrieval
Notes
58
747
64
Tang, M., Lap, Y. C., and Kao, B. (2000) Selection of melody lines for music databases. IEEE Multimedia, 243–8.
Selection of melody lines for music databases
IEEE Multimedia
243
8
Wieczorkowska, A. and Zytkow, J. (2003) Analysis of feature dependencies in sound description. Journal of Intelligent Information Systems, 20(3), 285–302.
Analysis of feature dependencies in sound description
Journal of Intelligent Information Systems
20
285
302
You, J., Park, S., and Kim, I. (2008) An efficient frequent melody indexing method to improve the performance of query-byhumming systems. Journal of Information Science, 34(6), 777–98.
An efficient frequent melody indexing method to improve the performance of query-byhumming systems
Journal of Information Science
34
777
98