In this paper, a generic pitch marks filtering algorithm (PMFA) is introduced in order to achieve reliable and smooth pitch marks from any input pitch tracking or marking algorithm. The proposed PMFA is a simple yet effective filtering process based on restricted dynamic programming, but very helpful for minimizing human intervention when creating large speech corpora. Moreover, this work introduces a novel pitch marking evaluation measure for directly comparing pitch marking algorithms with different location criteria. The experiments demonstrate that the proposed PFMA improves the results of the input state-of-the-art pitch tracking and marking algorithms dramatically.
Cite as: Alías, F., Monzo, C., Socoró, J.C. (2006) A pitch marks filtering algorithm based on restricted dynamic programming. Proc. Interspeech 2006, paper 1625-Wed2A1O.2, doi: 10.21437/Interspeech.2006-472
@inproceedings{alias06b_interspeech,
author={Francesc Alías and Carlos Monzo and Joan Claudi Socoró},
title={{A pitch marks filtering algorithm based on restricted dynamic programming}},
year=2006,
booktitle={Proc. Interspeech 2006},
pages={paper 1625-Wed2A1O.2},
doi={10.21437/Interspeech.2006-472}
}