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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Main Author: Cecilia Jarne
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:MethodsX
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016118302140
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spelling doaj-a3034f7c5453495987265b1456c5a4c42020-11-25T01:41:11ZengElsevierMethodsX2215-01612019-01-016124131A method for estimation of fundamental frequency for tonal sounds inspired on bird song studiesCecilia Jarne0Universidad Nacional de Quilmes, Departamento de Ciencia y Tecnología – CONICET, Buenos Aires, ArgentinaIn 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. Method name: A maximum intensity of frequency decomposition method, Keywords: Signal analysis, Fundamental frequency, Python code, Open sourcehttp://www.sciencedirect.com/science/article/pii/S2215016118302140
collection DOAJ
language English
format Article
sources DOAJ
author Cecilia Jarne
spellingShingle Cecilia Jarne
A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
MethodsX
author_facet Cecilia Jarne
author_sort Cecilia Jarne
title 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_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_sort method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
publisher Elsevier
series MethodsX
issn 2215-0161
publishDate 2019-01-01
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. Method name: A maximum intensity of frequency decomposition method, Keywords: Signal analysis, Fundamental frequency, Python code, Open source
url http://www.sciencedirect.com/science/article/pii/S2215016118302140
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