Multiple fundamental frequencies estimation approaches based on multi-scale product analysis

Abstract

This paper describes three methods for multiple fundamental frequencies estimation based on the multi-scale product analysis. The three methods use the autocorrelation of the multi-scale product analysis for the target pitch estimation. For the intrusion pitch, each one has its techniques. The first one uses the classic comb filtering. The second method employs the rectangular comb filter followed by the dynamic programming and the third one uses multiple-comb filters. These methods are evaluated on the Cooke database by calculating the gross error and the root means square error and compared to each other.