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Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds

The singing of juvenile songbirds is highly variable and not well stereotyped, a feature that makes it difficult to analyze with existing computational techniques. We present here a method suitable for analyzing such vocalizations, windowed spectral pattern recognition (WSPR). Rather than performing...

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Detalles Bibliográficos
Autores principales: Wellock, Cameron D., Reeke, George N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372370/
https://www.ncbi.nlm.nih.gov/pubmed/22701474
http://dx.doi.org/10.1155/2012/261010
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author Wellock, Cameron D.
Reeke, George N.
author_facet Wellock, Cameron D.
Reeke, George N.
author_sort Wellock, Cameron D.
collection PubMed
description The singing of juvenile songbirds is highly variable and not well stereotyped, a feature that makes it difficult to analyze with existing computational techniques. We present here a method suitable for analyzing such vocalizations, windowed spectral pattern recognition (WSPR). Rather than performing pairwise sample comparisons, WSPR measures the typicality of a sample against a large sample set. We also illustrate how WSPR can be used to perform a variety of tasks, such as sample classification, song ontogeny measurement, and song variability measurement. Finally, we present a novel measure, based on WSPR, for quantifying the apparent complexity of a bird's singing.
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spelling pubmed-33723702012-06-14 Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds Wellock, Cameron D. Reeke, George N. Comput Intell Neurosci Research Article The singing of juvenile songbirds is highly variable and not well stereotyped, a feature that makes it difficult to analyze with existing computational techniques. We present here a method suitable for analyzing such vocalizations, windowed spectral pattern recognition (WSPR). Rather than performing pairwise sample comparisons, WSPR measures the typicality of a sample against a large sample set. We also illustrate how WSPR can be used to perform a variety of tasks, such as sample classification, song ontogeny measurement, and song variability measurement. Finally, we present a novel measure, based on WSPR, for quantifying the apparent complexity of a bird's singing. Hindawi Publishing Corporation 2012 2012-06-04 /pmc/articles/PMC3372370/ /pubmed/22701474 http://dx.doi.org/10.1155/2012/261010 Text en Copyright © 2012 C. D. Wellock and G. N. Reeke. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wellock, Cameron D.
Reeke, George N.
Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds
title Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds
title_full Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds
title_fullStr Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds
title_full_unstemmed Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds
title_short Quantitative Tools for Examining the Vocalizations of Juvenile Songbirds
title_sort quantitative tools for examining the vocalizations of juvenile songbirds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372370/
https://www.ncbi.nlm.nih.gov/pubmed/22701474
http://dx.doi.org/10.1155/2012/261010
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