Information Technology Reference
In-Depth Information
Haus, G. & Pollastri, E. (2001). An audio front
end for query-by-humming systems. In Proceed-
ings of the Second International Symposium on
Music Information Retrieval (ISMIR 2001 ) (pp.
65-72) Bloomington, Indiana.
Klapuri, A. (n.d.) Automatic transcription of mu-
sic: Literature review. Retrieved May 21, 2007,
from http://www.cs.tut.fi/~klap/iiro/literature.
html
Kline, R. L. (2002). Algorithms for error tolerant
information retrieval from music databases using
vocal input. Unpublished doctoral dissertation.
Rensselaer Polytechnic Institute, Troy, NY.
Hu, N. & Dannenberg, R. B. (2002). A comparison
of melodic database retrieval techniques using
sung queries. In Proceedings of the 2nd ACM/
IEEE-CS Joint Conference on Digital Libraries
(pp. 301 - 307) Portland, Oregon.
Kline, R. L. & Glinert, E. P. (2003). Approxi-
mate matching algorithms for music information
retrieval using vocal input. In Proceedings of the
11 th ACM Conference on Multimedia (MM'03)
(pp. 130-139) Berkeley, California.
ISMIR (2004). ISMIR 2004 audio description
contest. Retrieved May 21, 2007, from http://is-
mir2004.ismir.net/ISMIR_Contest.html
Jang, J.-S. R., Chen, J.-C. & Kao, M.-Y. (2001a).
MIRACLE: A music information retrieval system
with clustered computing engines. In Proceedings
of the Second International Symposium on Music
Information Retrieval (ISMIR 2001) (pp. 11-12)
Bloomington, Indiana.
Kosugi, N., Nishihara, Y., Sakata, T., Yamamuro,
M. & Kushima, K. (2000). A practical query-
by-humming system for a large music database.
In Proceedings of the 8th ACM Conference on
Multimedia (MM'00) (pp. 333-342) Marina del
Rey, California.
Jang, J.-S. R., Lee, H.-R. & Kao, M.-Y (n.d.).
SuperMBox computer software. Retrieved May
21, 2007, from http://neural.cs.nthu.edu.tw/jang/
demo
Kosugi, N., Sakurai, Y. & Morimoto, M. (2004).
SoundCompass: A practical query-by-humming
system; Normalization of scalable and shiftable
time-series data and effective subsequence genera-
tion. In Proceedings of the 2004 ACM SIGMOD
international Conference on Management of Data
(pp. 881-886) Paris, France.
Jang, J.-S. R., Lee, H.-R. & Kao, M.-Y. (2001b).
Content-based music retrieval using linear scal-
ing and branch-and-bound tree search. In IEEE
International Conference on Multimedia and
Expo , Tokyo, Japan.
Kuhn, W. B. (1990). A real-time pitch recogni-
tion algorithm for music applications. Computer
Music Journal , 14 (3), 60-71.
Kageyama, T., Mochizuki, K. & Takashima,
Y. (1993). Melody retrieval with humming. In
Proceedings of the 1993 International Computer
Music Conference (ICMC'93) (pp. 349-351) To-
kyo, Japan.
Levitin, D. J. (1994). Absolute memory for musical
pitch: Evidence from the production of learned
melodies. Perception and Psychophysics , 56 (4),
414-423.
Kageyama, T. & Takashima, Y. (1994). A melody
retrieval method with hummed melody (lan-
guage: Japanese). Transactions of the Institute
of Electronics, Information and Communication
Engineers D-II , J77D-II (8), 1543-1551.
Levitin, D. J. & Cook, P. R. (1996). Memory for
musical tempo: Additional evidence that auditory
memory is absolute. Perception and Psychophys-
ics , 58 (6), 927-935.
Search WWH ::




Custom Search