Open AccessAutomatic bird song and syllable segmentation with an open-source deep-learning object detection method – a case study in the Collared Flycatcher (Ficedula albicollis)
Author(s) -
Sándor Zsebők,
Máté Ferenc Nagy-Egri,
G. G. Barnaföldi,
Miklós Laczi,
Gergely Nagy,
Éva Vaskúti,
László Zsolt Garamszegi
Publication year - 2019
Publication title -
ornis hungarica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 8
eISSN - 2061-9588
pISSN - 1215-1610
DOI - 10.2478/orhu-2019-0015
Subject(s) - flycatcher , computer science , spectrogram , bioacoustics , segmentation , speech recognition , artificial intelligence , object (grammar) , pattern recognition (psychology) , biology , zoology , telecommunications