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Visual analysis for drum sequence transcription

McGuinness, Kevin orcid logoORCID: 0000-0003-1336-6477, Gillet, Olivier, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Richard, Gaël (2007) Visual analysis for drum sequence transcription. In: EUSIPCO 2007 - The 15th European Signal Processing Conference, 3-7 September 2007, Poznan, Poland.

A system is presented for analysing drum performance video sequences. A novel ellipse detection algorithm is introduced that automatically locates drum tops. This algorithm fits ellipses to edge clusters, and ranks them according to various fitness criteria. A background/foreground segmentation method is then used to extract the silhouette of the drummer and drum sticks. Coupled with a motion intensity feature, this allows for the detection of ‘hits’ in each of the extracted regions. In order to obtain a transcription of the performance, each of these regions is automatically labeled with the corresponding instrument class. A partial audio transcription and color cues are used to measure the compatibility between a region and its label, the Kuhn-Munkres algorithm is then employed to find the optimal labeling. Experimental results demonstrate the ability of visual analysis to enhance the performance of an audio drum transcription system.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Official URL:http://www.eusipco2007.org/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission FP6-027026
ID Code:357
Deposited On:19 Mar 2008 by DORAS Administrator . Last Modified 24 Jan 2019 15:01

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