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

K. Pelzers; V. Mladenov

doi:10.1109/NEUREL.2016.7800139

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

K. Pelzers
, V. Mladenov

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer 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-2	Engels
Titel	2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia
Redacteuren	S. Relijn, S. Stanković
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
ISBN van elektronische versie	9781509015306
ISBN van geprinte versie	978-1-5090-1529-0
DOI's	https://doi.org/10.1109/NEUREL.2016.7800139
Status	Gepubliceerd - 27 dec. 2016
Evenement	13th Symposium on Neural Networks and Applications (NEUREL 2016) - SAVA Center, Belgrade, Servië Duur: 22 nov. 2016 → 24 nov. 2016 Congresnummer: 13

Congres

Congres	13th Symposium on Neural Networks and Applications (NEUREL 2016)
Verkorte titel	NEUREL 2016
Land/Regio	Servië
Stad	Belgrade
Periode	22/11/16 → 24/11/16

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10.1109/NEUREL.2016.7800139

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Pelzers, K., & Mladenov, V. (2016). Animal call segregation using self organizing map with speeded up robust features. In S. Relijn, & S. Stanković (editors), 2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia Artikel 7800139 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/NEUREL.2016.7800139

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title = "Animal call segregation using self organizing map with speeded up robust features",

abstract = "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.",

keywords = "Self Organizing Map (SOM), Speeded Up Robust Features (SURF), Unsupervised audio segregation",

author = "K. Pelzers and V. Mladenov",

year = "2016",

month = dec,

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doi = "10.1109/NEUREL.2016.7800139",

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editor = "S. Relijn and \{ Stankovi{\'c}\}, S.",

booktitle = "2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "13th Symposium on Neural Networks and Applications (NEUREL 2016), NEUREL 2016 ; Conference date: 22-11-2016 Through 24-11-2016",

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Pelzers, K & Mladenov, V 2016, Animal call segregation using self organizing map with speeded up robust features. in S Relijn & S Stanković (reds.), 2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia., 7800139, Institute of Electrical and Electronics Engineers, Piscataway, 13th Symposium on Neural Networks and Applications (NEUREL 2016), Belgrade, Servië, 22/11/16. https://doi.org/10.1109/NEUREL.2016.7800139

Animal call segregation using self organizing map with speeded up robust features. / Pelzers, K.; Mladenov, V.
2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia. reds. / S. Relijn; S. Stanković. Piscataway: Institute of Electrical and Electronics Engineers, 2016. 7800139.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Mladenov, V.

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Y1 - 2016/12/27

N2 - 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.

AB - 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.

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KW - Speeded Up Robust Features (SURF)

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Pelzers K, Mladenov V. Animal call segregation using self organizing map with speeded up robust features. In Relijn S, Stanković S, redacteurs, 2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia. Piscataway: Institute of Electrical and Electronics Engineers. 2016. 7800139 doi: 10.1109/NEUREL.2016.7800139

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

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