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; Máté Ferenc Nagy-Egri; Gergely Gábor Barnaföldi; Miklós Laczi; Gergely Nagy; Éva Vaskuti; László Zsolt Garamszegi

doi:10.2478/orhu-2019-0015

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

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