Repository logo
 
Publication

Call recognition and individual identification of fish vocalizations based on automatic speech recognition: An example with the Lusitanian toadfish

2015Journal article Open access
Simple item page
dc.contributor.authorVieira, Manuel
dc.contributor.authorFonseca, Paulo Jorge
dc.contributor.authorAmorim, Maria Clara Pessoa
dc.contributor.authorTeixeira, Carlos J. C.
dc.date.accessioned2016-11-07T20:04:05Z
dc.date.available2016-11-07T20:04:05Z
dc.date.issued2015
dc.description.abstractThe study of acoustic communication in animals often requires not only the recognition of species specific acoustic signals but also the identification of individual subjects, all in a complex acoustic background. Moreover, when very long recordings are to be analyzed, automatic recognition and identification processes are invaluable tools to extract the relevant biological information. A pattern recognition methodology based on hidden Markov models is presented inspired by successful results obtained in the most widely known and complex acoustical communication signal: human speech. This methodology was applied here for the first time to the detection and recognition of fish acoustic signals, specifically in a stream of round-the-clock recordings of Lusitanian toadfish (Halobatrachus didactylus) in their natural estuarine habitat. The results show that this methodology is able not only to detect the mating sounds (boatwhistles) but also to identify individual male toadfish, reaching an identification rate of ca. 95%. Moreover this method also proved to be a powerful tool to assess signal durations in large data sets. However, the system failed in recognizing other sound types.pt_PT
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT)pt_PT
dc.identifier.citationJournal of the Acoustical Society of America, 138, 3941-3950. Doi: 10.1121/1.4936858pt_PT
dc.identifier.doi10.1121/1.4936858pt_PT
dc.identifier.issn0001-4966
dc.identifier.urihttp://hdl.handle.net/10400.12/5034
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAcoustical Society of Americapt_PT
dc.relationRole of acoustic signals in mate choice and male-male assessment in a strongly-vocal fish, Halobatrachus didactylus
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAnimalspt_PT
dc.subjectBatrachoidiformespt_PT
dc.subjectEcosystempt_PT
dc.subjectHumanspt_PT
dc.subjectMalept_PT
dc.subjectMarkov Chainspt_PT
dc.subjectSound Spectrographypt_PT
dc.subjectSpeech Production Measurementpt_PT
dc.subjectAcousticspt_PT
dc.subjectPattern Recognitionpt_PT
dc.subjectSexual Behaviorpt_PT
dc.subjectSignal Processingpt_PT
dc.subjectSpeech Acousticspt_PT
dc.subjectVocalizationpt_PT
dc.titleCall recognition and individual identification of fish vocalizations based on automatic speech recognition: An example with the Lusitanian toadfishpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleRole of acoustic signals in mate choice and male-male assessment in a strongly-vocal fish, Halobatrachus didactylus
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FMAR%2F118767%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAR%2F04292%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FBIA%2F00329%2F2013/PT
oaire.citation.conferencePlaceUnited Statespt_PT
oaire.citation.endPage3950pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage3941pt_PT
oaire.citation.titleJournal of the Acoustical Society of Americapt_PT
oaire.citation.volume138pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream5876
oaire.fundingStream5876
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication4f07b64d-ac56-4cf9-92e0-09a654d25e31
relation.isProjectOfPublicationb45075bd-b8ca-49a6-bfec-2030828e7160
relation.isProjectOfPublication9d804b87-400b-4ea9-be74-f7d1e6845dfd
relation.isProjectOfPublication.latestForDiscovery9d804b87-400b-4ea9-be74-f7d1e6845dfd

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
JASA, 138, 3941–3950.pdf
Size:
887 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

MARE - Artigos em revistas internacionais