Linear Prediction of Speech
Sound-source recognition: a theory and computational model
Sound-source recognition: a theory and computational model
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A fusion scheme of visual and auditory modalities for event detection in sports video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
| Hi-index | 0.00 |
One important field in the research of computer music concerns the modeling of sounds. In order to design computational 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 the electric guitar. Both time domain and frequency domain feature analysis experiments have been performed to select the appropriate parameters and the features 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.