This article is concerned with the estimation of fundamental frequencies in polyphonic signals for the case when the number of sources is known. We propose a new method for joint evaluation of multiple F0 hypotheses based on three physical principles: harmonicity, spectral smoothness and synchronous amplitude evolution within a single source, which are closely related to source segregation in auditory scene analysis. Given the observed spectrum a set of hypothetic partial sequences is derived and an optimal assignment of the observed peaks to the hypothetic sources and noise is performed. Hypothetic partial sequences are then evaluated by a new score function which formulates the guiding principles in a mathematical manner. The algorithm has been tested on a large collection of artificially mixed polyphonic samples and the encouraging results demonstrate the competitive performance of the proposed method.
Cite as: Yeh, C., Röbel, A. (2004) Physical principles driven joint evaluation of multiple f0 hypotheses. Proc. ITRW on Statistical and Perceptual Audio Processing (SAPA 2004), paper 109
@inproceedings{yeh04_sapa,
author={Chunghsin Yeh and Axel Röbel},
title={{Physical principles driven joint evaluation of multiple f0 hypotheses}},
year=2004,
booktitle={Proc. ITRW on Statistical and Perceptual Audio Processing (SAPA 2004)},
pages={paper 109}
}