Log in to save to my catalogue

Automated identification of avian vocalizations with deep convolutional neural networks

Automated identification of avian vocalizations with deep convolutional neural networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a014e061e6074d228d5c23933f652c03

Automated identification of avian vocalizations with deep convolutional neural networks

About this item

Full title

Automated identification of avian vocalizations with deep convolutional neural networks

Publisher

Oxford: John Wiley & Sons, Inc

Journal title

Remote sensing in ecology and conservation, 2020-03, Vol.6 (1), p.79-92

Language

English

Formats

Publication information

Publisher

Oxford: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Passive acoustic monitoring is an emerging approach to wildlife monitoring that leverages recent improvements in automated recording units and other technologies. A central challenge of this approach is the task of locating and identifying target species vocalizations in large volumes of audio data. To address this issue, we developed an efficient...

Alternative Titles

Full title

Automated identification of avian vocalizations with deep convolutional neural networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a014e061e6074d228d5c23933f652c03

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a014e061e6074d228d5c23933f652c03

Other Identifiers

ISSN

2056-3485

E-ISSN

2056-3485

DOI

10.1002/rse2.125

How to access this item