Musical Onset Detection with Joint Phase and Energy Features
Wan-Chi Lee, Yu Shiu, C.‐C. Jay Kuo · 2007
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.