DocumentCode :
2937016
Title :
Rhythm analysis for personal and social music applications using drum loop patterns
Author :
Hui Li Tan ; Zhu, Yongwei ; Rahardja, Susanto ; Chaisorn, Lekha
Author_Institution :
Inst. for Infocomm Res., A*STAR, Singapore, Singapore
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
1672
Lastpage :
1675
Abstract :
The development of effective music retrieval and recommendation applications requires meaningful features for characterizing music audio. The rhythm of music audio in particular, besides timbre and melody, is essential in describing the music piece. This paper illustrates how drum loop patterns characterize the salient rhythm structure of music and an approach for drum loop pattern extraction is described. The extracted drum loop patterns are formed based on the temporal regularity (accent on meter) and drum types (bass and snare) of the beats and are good representations of the rhythmic dimension of music. The extracted drum loop patterns are useful for music segmentation and further work would include music classification and similarity matching.
Keywords :
audio signal processing; information retrieval; music; pattern matching; signal classification; signal representation; beat temporal regularity; drum loop pattern extraction; music audio retrieval; music classification; music matching; music representation; music segmentation; personal music application; rhythm analysis; social music application; Data mining; Databases; Histograms; Instruments; Multiple signal classification; Music information retrieval; Pattern analysis; Rhythm; Social network services; Timbre; Music information retrieval; audio classification; drum loop; rhythm analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202842
Filename :
5202842
Link To Document :
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