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A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies

In this work a simple implementation of fundamental frequency estimation is presented. The algorithm is based on a frequency-domain approach. It was mainly developed for tonal sounds and it was used in Canary birdsong analysis. The method was implemented but not restricted for this kind of data. It...

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Detalles Bibliográficos
Autor principal: Jarne, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330366/
https://www.ncbi.nlm.nih.gov/pubmed/30671355
http://dx.doi.org/10.1016/j.mex.2018.12.011
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author Jarne, Cecilia
author_facet Jarne, Cecilia
author_sort Jarne, Cecilia
collection PubMed
description In this work a simple implementation of fundamental frequency estimation is presented. The algorithm is based on a frequency-domain approach. It was mainly developed for tonal sounds and it was used in Canary birdsong analysis. The method was implemented but not restricted for this kind of data. It could be easily adapted for other sounds. Python libraries were used to develop a code with a simple algorithm to obtain fundamental frequency. An open source code is provided in the local university repository and Github. • The algorithm and the implementation are very simple and cover a set of potential applications for signal analysis. • Code implementation is written in python, very easy to use and modify. • Present method is proposed to analyze data from sounds of Serinus canaria.
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spelling pubmed-63303662019-01-22 A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies Jarne, Cecilia MethodsX Computer Science In this work a simple implementation of fundamental frequency estimation is presented. The algorithm is based on a frequency-domain approach. It was mainly developed for tonal sounds and it was used in Canary birdsong analysis. The method was implemented but not restricted for this kind of data. It could be easily adapted for other sounds. Python libraries were used to develop a code with a simple algorithm to obtain fundamental frequency. An open source code is provided in the local university repository and Github. • The algorithm and the implementation are very simple and cover a set of potential applications for signal analysis. • Code implementation is written in python, very easy to use and modify. • Present method is proposed to analyze data from sounds of Serinus canaria. Elsevier 2019-01-04 /pmc/articles/PMC6330366/ /pubmed/30671355 http://dx.doi.org/10.1016/j.mex.2018.12.011 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Computer Science
Jarne, Cecilia
A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
title A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
title_full A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
title_fullStr A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
title_full_unstemmed A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
title_short A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
title_sort method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330366/
https://www.ncbi.nlm.nih.gov/pubmed/30671355
http://dx.doi.org/10.1016/j.mex.2018.12.011
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