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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