Animal call segregation using self organizing map with speeded up robust features

K. Pelzers, V. Mladenov

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Animal counting is often employed to estimate the population size and species diversity in a given area. This work makes a start at the unsupervised segregation of audio clips with a Self Organizing Map (SOM), using Speeded Up Robust Features (SURF) applied to audio spectrograms as inputs. Further work is required for a functional algorithm.

Originele taal-2Engels
Titel2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia
RedacteurenS. Relijn, S. Stanković
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
ISBN van elektronische versie9781509015306
ISBN van geprinte versie978-1-5090-1529-0
DOI's
StatusGepubliceerd - 27 dec 2016
Evenement13th Symposium on Neural Networks and Applications (NEUREL 2016) - SAVA Center, Belgrade, Servië
Duur: 22 nov 201624 nov 2016
Congresnummer: 13

Congres

Congres13th Symposium on Neural Networks and Applications (NEUREL 2016)
Verkorte titelNEUREL 2016
LandServië
StadBelgrade
Periode22/11/1624/11/16

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