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Detail publikace
ŠŤASTNÝ, J. MUNK, M. JURÁNEK, L.
Originální název
Automatic bird species recognition based on birds vocalization
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This paper deals with a project of Automatic Bird Species Recognition Based on Bird Vocalization. Eighteen bird species of 6 different families were analyzed. At first, human factor cepstral coefficients representing the given signal were calculated from particular recordings. In the next phase, using the voice activity detection system, segments of bird vocalizations were detected from which a likelihood rate, with which the given code value corresponds to the given model, was calculated using individual hidden Markov models. For each bird species, just one respective hidden Markov model was trained. The interspecific success of 81.2% has been reached. For classification into families, the success has reached 90.45%.
Klíčová slova
HFCC, VAD, kNN, HMM, Bird species recognition, Birdsong recognition, Classification
Autoři
ŠŤASTNÝ, J.; MUNK, M.; JURÁNEK, L.
Vydáno
14. 12. 2018
Nakladatel
Springer Nature
ISSN
1687-4722
Periodikum
Eurasip Journal on Audio, Speech, and Music Processing
Ročník
2018
Číslo
12
Stát
Švýcarská konfederace
Strany od
1
Strany do
7
Strany počet
URL
http://link.springer.com/article/10.1186/s13636-018-0143-7
Plný text v Digitální knihovně
http://hdl.handle.net/11012/137370
BibTex
@article{BUT151882, author="Jiří {Šťastný} and Michal {Munk} and Luboš {Juránek}", title="Automatic bird species recognition based on birds vocalization", journal="Eurasip Journal on Audio, Speech, and Music Processing", year="2018", volume="2018", number="12", pages="1--7", doi="10.1186/s13636-018-0143-7", issn="1687-4722", url="http://link.springer.com/article/10.1186/s13636-018-0143-7" }