The Multi-Pitch Estimation Problem: some New Solutions
Mads Græsbøll Christensen, Petre Stoica, Andreas Jakobsson, Søren Holdt Jensen · 2007
In this paper, we formulate the multi-pitch estimation problem and propose a number of methods to estimate the set of fundamental frequencies. The methods, which are based on nonlinear least-squares, multiple signal classification (MUSIC) and the Capon principles, have in common the fact that the multiple fundamental frequencies are estimated by means of a one-dimensional search. The statistical properties of the methods are evaluated via Monte Carlo simulations.