Convolutional Neural Network for Sound Processing - Study of Deployed Application

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Convolutional Neural Network for Sound Processing - Study of Deployed Application

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Convolutional Neural Network for Sound Processing - Study of Deployed Application

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019

ISBN

978-1-5386-9323-0

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

208-212

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Pardubice

Datum konání akce

16. 4. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000492026100037