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We are looking to use pitch estimators to provide an accurate high-resolution pitch track for resynthesis of musical audio. We found that current evaluation measures such as gross error rate (GER) are not suitable for algorithm selection. In this paper we examine the issues relating to evaluating pitch estimators and use these insights to improve performance of existing algorithms such as the well-known YIN pitch estimation algorithm.
Author (s): Welburn, Stephen J.;
Plumbley, Mark D.;
Affiliation:
Queen Mary University of London, London, UK
(See document for exact affiliation information.)
AES Convention: 128
Paper Number:8033
Publication Date:
2010-05-06
Session subject:
Audio Processing—Analysis and Synthesis of Sound
DOI:
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Welburn, Stephen J.; Plumbley, Mark D.; 2010; Improving the Performance of Pitch Estimators [PDF]; Queen Mary University of London, London, UK; Paper 8033; Available from: https://aes.org/publications/elibrary-page/?id=15330
Welburn, Stephen J.; Plumbley, Mark D.; Improving the Performance of Pitch Estimators [PDF]; Queen Mary University of London, London, UK; Paper 8033; 2010 Available: https://aes.org/publications/elibrary-page/?id=15330
@inproceedings{Welburn2010improving,
title={{Improving the Performance of Pitch Estimators}},
author={Welburn, Stephen J. and Plumbley, Mark D.},
year={2010},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 8033; AES Convention 128; May 2010},
number={8033},
organization={AES},
}
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