Convolutional Neural Network for Sound Processing - Study of Deployed Application
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915450" target="_blank" >RIV/00216275:25530/19:39915450 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/RADIOELEK.2019.8733479" target="_blank" >http://dx.doi.org/10.1109/RADIOELEK.2019.8733479</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEK.2019.8733479" target="_blank" >10.1109/RADIOELEK.2019.8733479</a>
Alternative languages
Result language
angličtina
Original language name
Convolutional Neural Network for Sound Processing - Study of Deployed Application
Original language description
Pest birds are considered as a special kind of vermin, since, in most of countries, their legal position does not enable their direct extermination. Therefore, in order to protect the agricultural areas indirectly from pest birds, the robust and highly selective pest bird sensor is necessary to design. In this contribution, the pest bird detection unit, based on a convolutional neural network, is presented. The convolutional neural network itself is used for the decision making about the pest bird occurrence, while sound recordings are used as input data. The testings, presented at the end of the contribution, proved a very high accuracy of the detection unit, with the results indispensably improved in comparison to previously presented approaches.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019
ISBN
978-1-5386-9323-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
208-212
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Pardubice
Event date
Apr 16, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000492026100037