Name
Abstract | ||
|---|---|---|
Real--time transcription of drum signals is an emerging area of research. Several applications for music education and commercial use can utilize such algorithms and allow for an easy-to-use way to interpret drum signals in real--time. The paper at hand proposes a system that performs real--time drums transcription. The proposed system consists of two subsystems, the real--time separation and the training module. The real--time separation module is based on the use of characteristic filters, combining simple bandpass filtering and amplification, a fact that diminishes computational cost and potentially renders it suitable for implementation on hardware. The training module employs Differential Evolution to create generations of characteristic filter combinations that optimally separate a set of given drum sources. Initial experimental results indicate that the proposed system is relatively accurate rendering it convenient for real-time hardware implementations targeted to a wide range of applications. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2371456.2371482 | Audio Mostly Conference |
Keywords | Field | DocType |
characteristic bandpass,characteristic filter,time separation module,training module,real-time drums transcription,characteristic filter combination,time transcription,time drums transcription,commercial use,real-time hardware,proposed system,time separation | Hardware implementations,Computer science,Simulation,Drum,Bandpass filtering,Differential evolution,Rendering (computer graphics),Computer hardware | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maximos A. Kaliakatsos-Papakostas | 1 | 67 | 13.26 |
| Andreas Floros | 2 | 80 | 16.12 |
| M.N. Vrahatis | 3 | 1740 | 151.65 |
| Nikolaos Kanellopoulos | 4 | 12 | 2.15 |