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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia
Editors	S. Relijn, S. Stanković
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781509015306
ISBN (Print)	978-1-5090-1529-0
DOIs	https://doi.org/10.1109/NEUREL.2016.7800139
Publication status	Published - 27 Dec 2016
Event	13th Symposium on Neural Networks and Applications (NEUREL 2016) - SAVA Center, Belgrade, Serbia Duration: 22 Nov 2016 → 24 Nov 2016 Conference number: 13

Conference

Conference	13th Symposium on Neural Networks and Applications (NEUREL 2016)
Abbreviated title	NEUREL 2016
Country/Territory	Serbia
City	Belgrade
Period	22/11/16 → 24/11/16

Keywords

Self Organizing Map (SOM)
Speeded Up Robust Features (SURF)
Unsupervised audio segregation

Access to Document

10.1109/NEUREL.2016.7800139

Cite this

Pelzers, K., & Mladenov, V. (2016). Animal call segregation using self organizing map with speeded up robust features. In S. Relijn, & S. Stanković (Eds.), 2016 13th Symposium on Neural Networks and Applications (NEUREL) : November 22-24, 2016, SAVA Center, Milentij a Popovica 9, Belgrade, Serbia Article 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,

day = "27",

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 (eds), 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, Serbia, 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. ed. / S. Relijn; S. Stanković. Piscataway: Institute of Electrical and Electronics Engineers, 2016. 7800139.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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)

KW - Unsupervised audio segregation

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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, editors, 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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