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dc.contributor.author
Jarne, Cecilia Gisele
dc.date.available
2020-10-30T19:28:24Z
dc.date.issued
2019-01
dc.identifier.citation
Jarne, Cecilia Gisele; A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies; Elsevier; MethodsX; 6; 1-2019; 124-131
dc.identifier.uri
http://hdl.handle.net/11336/117305
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
A MAXIMUM INTENSITY OF FREQUENCY DECOMPOSITION METHOD
dc.subject
FUNDAMENTAL FREQUENCY
dc.subject
OPEN SOURCE
dc.subject
PYTHON CODE
dc.subject
SIGNAL ANALYSIS
dc.subject.classification
Otras Ciencias Físicas
dc.subject.classification
Ciencias Físicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-10-29T20:04:07Z
dc.identifier.eissn
2215-0161
dc.journal.volume
6
dc.journal.pagination
124-131
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Jarne, Cecilia Gisele. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
MethodsX
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2215016118302140
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.mex.2018.12.011
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