DocumentCode
2560799
Title
Approximate lower-bounding functions for the speedup of DTW for melody recognition
Author
Lee, Hong-Ru ; Chen, Ching ; Jang, Jyh-Shing Roger
Author_Institution
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Taiwan
fYear
2005
fDate
28-30 May 2005
Firstpage
178
Lastpage
181
Abstract
Conventional methods for melody recognition (or the so-called query by humming) are primarily based on dynamic programming, such as dynamic time warping (DTW). However, the computation load of DTW becomes prohibitively massive when the database has more than, say, 10,000 songs. To lessen the computation while keeping a reasonable recognition rates, this paper present a lower-bound based method that can reduce the computation effectively.
Keywords
acoustic signal processing; approximation theory; dynamic programming; music; approximate lower-bounding function; dynamic programming; dynamic time warping; melody recognition; query by humming; Autocorrelation; Computational complexity; Computer science; Databases; Dynamic programming; Flowcharts; Information retrieval; Laboratories; Microphones; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
Print_ISBN
0-7803-9185-3
Type
conf
DOI
10.1109/CNNA.2005.1543190
Filename
1543190
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