Bird song identification using artificial neural networks and statistical analysis

A system for automatically identifying six bird species by their songs was implemented. Pre-processing of sampled songs extracted temporal measurements of periods of sound and silence within songs. Power spectral densities were used to extract spectral information. Statistical methods were used to r...

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Hauptverfasser:	McIlraith, A.L., Card, H.C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustical engineering Animals Artificial neural networks Birds Data mining Evolution (biology) Feature extraction Humans Speech analysis Statistical analysis
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creator	McIlraith, A.L. Card, H.C.
description	A system for automatically identifying six bird species by their songs was implemented. Pre-processing of sampled songs extracted temporal measurements of periods of sound and silence within songs. Power spectral densities were used to extract spectral information. Statistical methods were used to reduce data dimensionality and for identification tasks. An artificial neural network was also used for identification. Quadratic discriminant analysis achieved a 93%, and a backpropagation neural network 82% overall accuracy.
doi_str_mv	10.1109/CCECE.1997.614790
format	Conference Proceeding
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Quadratic discriminant analysis achieved a 93%, and a backpropagation neural network 82% overall accuracy.</description><subject>Acoustical engineering</subject><subject>Animals</subject><subject>Artificial neural networks</subject><subject>Birds</subject><subject>Data mining</subject><subject>Evolution (biology)</subject><subject>Feature extraction</subject><subject>Humans</subject><subject>Speech analysis</subject><subject>Statistical analysis</subject><issn>0840-7789</issn><issn>2576-7046</issn><isbn>0780337166</isbn><isbn>9780780337169</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkEtPwzAQhC0eEm3hB8ApJ24J69j14whReUiVkFDvkeuskSFNiu0I9d9jtZxGO_pmNRpCbilUlIJ-aJpVs6qo1rISlEsNZ2RWL6UoJXBxTuYgFTAmqRAXZAaKQyml0ldkHuMXAHAl-Ix8PPnQFXEcPgvf4ZC889YkPw7FFH02TTha3vTFgFM4Svodw3cszJCDKcMx5Uyfb9Mfoo_X5NKZPuLNvy7I5nm1aV7L9fvLW_O4Lj2lKpWaG2qB5ha4zOW26KzStjMMFOXG6q1UDoBxrMEiE4w5XXf1FjrJnXWOLcj96e0-jD8TxtTufLTY92bAcYptLbislxwyeHcCPSK2--B3Jhza02TsDx7RX3w</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>McIlraith, A.L.</creator><creator>Card, H.C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1997</creationdate><title>Bird song identification using artificial neural networks and statistical analysis</title><author>McIlraith, A.L. ; Card, H.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-94a1c01864e5840befc89cda30814ac9b78f0034e20ce3633f92d2b0d74fcff3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Acoustical engineering</topic><topic>Animals</topic><topic>Artificial neural networks</topic><topic>Birds</topic><topic>Data mining</topic><topic>Evolution (biology)</topic><topic>Feature extraction</topic><topic>Humans</topic><topic>Speech analysis</topic><topic>Statistical analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>McIlraith, A.L.</creatorcontrib><creatorcontrib>Card, H.C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>McIlraith, A.L.</au><au>Card, H.C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Bird song identification using artificial neural networks and statistical analysis</atitle><btitle>CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings</btitle><stitle>CCECE</stitle><date>1997</date><risdate>1997</risdate><volume>1</volume><spage>63</spage><epage>66 vol.1</epage><pages>63-66 vol.1</pages><issn>0840-7789</issn><eissn>2576-7046</eissn><isbn>0780337166</isbn><isbn>9780780337169</isbn><abstract>A system for automatically identifying six bird species by their songs was implemented. Pre-processing of sampled songs extracted temporal measurements of periods of sound and silence within songs. Power spectral densities were used to extract spectral information. Statistical methods were used to reduce data dimensionality and for identification tasks. An artificial neural network was also used for identification. 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language	eng
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subjects	Acoustical engineering Animals Artificial neural networks Birds Data mining Evolution (biology) Feature extraction Humans Speech analysis Statistical analysis
title	Bird song identification using artificial neural networks and statistical analysis
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