Have a personal or library account? Click to login
Automatic bird song and syllable segmentation with an open-source deep-learning object detection method – a case study in the Collared Flycatcher (Ficedula albicollis) Cover

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

Open Access
|Dec 2019

Download Article

Download the full article as a PDF file.

DOI: https://doi.org/10.2478/orhu-2019-0015 | Journal eISSN: 2061-9588 | Journal ISSN: 1215-1610
Language: English
Page range: 59 - 66
Submitted on: Sep 12, 2019
|
Accepted on: Oct 21, 2019
|
Published on: Dec 16, 2019
Published by: MME/BirdLife Hungary
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2019 Sándor Zsebők, Máté Ferenc Nagy-Egri, Gergely Gábor Barnaföldi, Miklós Laczi, Gergely Nagy, Éva Vaskuti, László Zsolt Garamszegi, published by MME/BirdLife Hungary
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.