CGP4Matlab - A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing

Miragaia, Rolando; Jorge dos Reis, Gustavo Miguel; Fernandéz, Francisco; Inácio, Tiago; Grilo, Carlos

http://hdl.handle.net/10400.8/14345

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Authors

Miragaia, Rolando

Jorge dos Reis, Gustavo Miguel

Fernandéz, Francisco

Inácio, Tiago

Grilo, Carlos

Abstract(s)

This paper presents and describes CGP4Matlab, a powerful toolbox that allows to run Cartesian Genetic Programming within MATLAB. This toolbox is particularly suited for signal processing and image processing problems. The implementation of CGP4Matlab, which can be freely downloaded, is described. Some encouraging results on the problem of pitch estimation of musical piano notes achieved using this toolbox are also presented. Pitch estimation of audio signals is a very hard problem with still no generic and robust solution found. Due to the highly flexibility of CGP4Matlab, we managed to apply a new cartesian genetic programming based approach to the problem of pitch estimation. The obtained results are comparable with the state of the art algorithms. © Springer International Publishing AG, part of Springer Nature 2018.

Keywords

Cartesian genetic programming MATLAB toolbox Pitch estimation

URI

http://hdl.handle.net/10400.8/14345

Citation

Miragaia R., Reis G., Fernandéz F., Inácio T., Grilo C. CGP4Matlab - A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing (2018) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10784 LNCS, pp. 455 - 471, Cited 8 times. DOI: 10.1007/978-3-319-77538-8_31 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044070993&doi=10.1007%2f978-3-319-77538-8_31&partnerID=40&md5=7e5aaa7331edbd1610a111eabefac2cb