Name
Abstract | ||
|---|---|---|
Although drum loops are widely present in many audio recordings of modern style music, there is little research that deals with automatic extraction of drum loops in polyphonic music audio. This paper presents an approach for drum loop pattern extraction, based on a technique of fusing the meter estimation information and onset clustering information. The extracted drum loop patterns are formed based on the temporal regularity (accent on meter) and drum types (bass and snare) of the beats. Despite not achieving very high-precision drum loop transcription, the extracted drum loop pattern characterizes the salient rhythm structure of the music, and can be very useful for categorization or similarity matching of music. Experimental results have shown the effectiveness of the proposed drum loop pattern extraction method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICME.2009.5202539 | ICME |
Keywords | Field | DocType |
rhythm analysis,loop transcription,music,drum loop pattern extraction,automatic extraction,audio classification,audio recording,meter estimation information,feature extraction,loop pattern,loop pattern extraction,modern style music,audio signal processing,onset clustering information,loop pattern extraction method,music information retrieval,musical instruments,polyphonic music audio,drum loop,audio recordings,indexes,spectrogram,estimation,data mining,rhythm | Music information retrieval,Pattern recognition,Computer science,Spectrogram,Drum,Feature extraction,Speech recognition,Artificial intelligence,Audio signal processing,Cluster analysis,Rhythm,Salient | Conference |
ISSN | ISBN | Citations |
1945-7871 E-ISBN : 978-1-4244-1291-1 | 978-1-4244-1291-1 | 2 |
PageRank | References | Authors |
0.42 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongwei Zhu | 1 | 104 | 14.68 |
| Hui Li Tan | 2 | 76 | 7.42 |
| Susanto Rahardja | 3 | 652 | 102.05 |