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Improving the Performance of Pitch Estimators

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.

Authors: Welburn, Stephen J.; Plumbley, Mark D.
Affiliation: Queen Mary University of London, London, UK
AES Convention:128 (May 2010) Paper Number:8033 Import into BibTeX
Subject:Audio Processing—Analysis and Synthesis of Sound

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