Title :
Musical Onset Detection with Joint Phase and Energy Features
Author :
Lee, Wan-Chi ; Shiu, Yu ; Kuo, C. C Jay
Author_Institution :
Southern California Univ., Los Angeles
Abstract :
A new approach to musical onset detection by detecting the significant change of joint energy and phase features is proposed in this work. We modify the phase deviation method in (Duxbury et al., 2003) to yield a more robust phase feature. To capture the energy deviation of an audio waveform along time, we compute the error of a forward linear prediction filter as the energy feature. Several ways to fuse obtained energy and phase features are discussed and compared. It is demonstrated by experimental results that a proper scheme to integrate energy and phase features can provide excellent onset detection results.
Keywords :
audio signal processing; filtering theory; music; prediction theory; audio waveform; energy deviation; forward linear prediction filter; joint energy change detection; joint energy/phase features; musical onset detection; phase deviation method; phase features; Detection algorithms; Energy capture; Envelope detectors; Fuses; Nonlinear filters; Phase detection; Prediction methods; Robustness; Signal analysis; Signal processing algorithms;
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
DOI :
10.1109/ICME.2007.4284617