Evolving a multi-classifier system with cartesian genetic programming for multi-pitch estimation of polyphonic piano music-Reference-Cited by-同舟云学术

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Evolving a multi-classifier system with cartesian genetic programming for multi-pitch estimation of polyphonic piano music

Published:2021-03-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th Annual ACM Symposium on Applied Computing
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Author:

Miragaia Rolando¹,de Vega Francisco Fernandez²,Reis Gustavo¹

Affiliation:

1. Polytechnic of Leiria, Portugal

2. University of Extremadura, Mérida, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3412841.3441927

Reference21 articles.

1. Multipitch estimation of piano sounds using a new probabilistic spectral smoothness principle. Audio, Speech, and Language Processing;Emiya Valentin;IEEE Transactions on,2010

2. Valentin Emiya Nancy Bertin Bertrand David and Roland Badeau. 2010. MAPS - A piano database for multipitch estimation and automatic transcription of music. Research Report. 11 pages. https://hal.inria.fr/inria-00544155 Valentin Emiya Nancy Bertin Bertrand David and Roland Badeau. 2010. MAPS - A piano database for multipitch estimation and automatic transcription of music. Research Report. 11 pages. https://hal.inria.fr/inria-00544155

3. Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms

4. Evolution Strategies

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