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Ornis Hungarica
Volume 27 (2019): Issue 2 (December 2019)
Open Access
Automatic bird song and syllable segmentation with an open-source deep-learning object detection method – a case study in the Collared Flycatcher
(Ficedula albicollis)
Sándor Zsebők
Sándor Zsebők
,
Máté Ferenc Nagy-Egri
Máté Ferenc Nagy-Egri
,
Gergely Gábor Barnaföldi
Gergely Gábor Barnaföldi
,
Miklós Laczi
Miklós Laczi
,
Gergely Nagy
Gergely Nagy
,
Éva Vaskuti
Éva Vaskuti
and
László Zsolt Garamszegi
László Zsolt Garamszegi
| Dec 16, 2019
Ornis Hungarica
Volume 27 (2019): Issue 2 (December 2019)
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Published Online:
Dec 16, 2019
Page range:
59 - 66
Received:
Sep 12, 2019
Accepted:
Oct 21, 2019
DOI:
https://doi.org/10.2478/orhu-2019-0015
Keywords
bird song
,
deep-learning
,
object detection
,
Collared Flycatcher
,
automatic segmentation
© 2019 Sándor Zsebők et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.