Automatic bird song and syllable segmentation with an open-source deep-learning object detection method – a case study in the Collared Flycatcher (Ficedula albicollis)

Automatic bird song and syllable segmentation with an open-source deep-learning object detection method – a case study in the Collared Flycatcher (Ficedula albicollis)

The bioacoustic analyses of animal sounds result in an enormous amount of digitized acoustic data, and we need effective automatic processing to extract the information content of the recordings. Our research focuses on the song of Collared Flycatcher (Ficedula albicollis) and we are interested in t...

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Bibliographic Details
Main Authors: Zsebők Sándor, Nagy-Egri Máté Ferenc, Barnaföldi Gergely Gábor, Laczi Miklós, Nagy Gergely, Vaskuti Éva, Garamszegi László Zsolt
Format: Article
Language:English
Published: Sciendo 2019-12-01
Series:Ornis Hungarica
Subjects:
bird song
deep-learning
object detection
collared flycatcher
automatic segmentation
Online Access:https://doi.org/10.2478/orhu-2019-0015

Internet

https://doi.org/10.2478/orhu-2019-0015

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