Abstract:
A key building block in music transcription and indexing operations is the decomposition of music signals into notes. We model a note signal as a periodic signal with (sl...Show MoreMetadata
Abstract:
A key building block in music transcription and indexing operations is the decomposition of music signals into notes. We model a note signal as a periodic signal with (slow) frequency-selective amplitude modulation and global time warping. Time-varying frequency-selective amplitude modulation allows the various harmonics of the periodic signal to decay at different speeds. Time-warping allows for some limited global frequency modulation. The bandlimited variation of the frequency-selective amplitude modulation and of the global time warping gets expressed through a subsampled representation and parametrization of the corresponding signals. Assuming additive white Gaussian noise, a maximum likelihood approach is proposed for the estimation of the model parameters and the optimization is performed in an iterative (cyclic) fashion that leads to a sequence of simple least-squares problems.
Published in: 2008 IEEE 10th Workshop on Multimedia Signal Processing
Date of Conference: 08-10 October 2008
Date Added to IEEE Xplore: 05 November 2008
ISBN Information: