Name
Abstract | ||
|---|---|---|
One important field in the research of computer music concerns the modeling of sounds. In order to design digital models mirroring as closely as possible a real sound and permitting in addition transformation by altering the synthesis parameters. We look for a signal model based on additive synthesis, whose parameters are estimated by the analysis of real sound. In this paper we present model-based analysis of musical notes generated by electric guitar. Both time domain and frequency domain feature analysis has been performed to find out the parameter selections for the musical signal analysis. Finally, non-parametric classification technique i.e. Nearest Neighbor Rule has been utilized to classify musical notes with this best set of parameters of the musical features. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-36228-2_72 | IEEE Pacific Rim Conference on Multimedia |
Keywords | Field | DocType |
time domain,musical feature,frequency domain feature analysis,synthesis parameter,statistical analysis,additive synthesis,musical note,model-based analysis,musical instruments,signal model,musical signal analysis,real sound,feature analysis,nearest neighbor,computer music,signal analysis,frequency domain | Frequency domain,Signal processing,Musical notation,Pattern recognition,Computer science,Additive synthesis,Musical instrument,Speech recognition,Computer music,Computational model,Artificial intelligence,Musical note | Conference |
Volume | ISSN | ISBN |
2532 | 0302-9743 | 3-540-00262-6 |
Citations | PageRank | References |
2 | 1.03 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Namunu Chinthaka Maddage | 1 | 108 | 11.28 |
| Changsheng Xu | 2 | 4957 | 332.87 |
| Chin-Hui Lee | 3 | 6101 | 852.71 |
| Mohan Kankanhalli | 4 | 3825 | 299.56 |
| Qi Tian | 5 | 82 | 6.18 |