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2001 IEEE International Conference on Multimedia and Expo (ICME'01)
MELODY CURVE PROCESSING FOR MUSIC RETRIEVAL
Tokyo, Japan
August 22-August 25
ISBN: 0-7695-1198-8
Yongwei Zhu, RWCP* Information-Base Functions KRDL Laboratory, Kent Ridge Digital Labs
Changsheng Xu, RWCP* Information-Base Functions KRDL Laboratory, Kent Ridge Digital Labs
Mohan Kankanhalli, School of Computing, National University of Singapore
There have been several query-by-humming techniques developed for music retrieval. The techniques either are errorprone due to the inaccuracy of the hummed query or force the users to hum according to a metronome. This paper presents a new slope-based query-by-humming technique, in which the retrieval is robust to the inaccuracy in query and the use of metronome is eliminated. We use melody curve to represent the melodies of the original songs and the hummed query. And curve features: slope ranges and spans and note changes are extracted from the melody curves. Music retrieval is done by matching the curve features of query with those of the original musical songs. Results have shown the features and the algorithms are robust to humming inaccuracy.
Citation:
Yongwei Zhu, Changsheng Xu, Mohan Kankanhalli, "MELODY CURVE PROCESSING FOR MUSIC RETRIEVAL," icme, pp.73, 2001 IEEE International Conference on Multimedia and Expo (ICME'01), 2001
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