TY - JOUR
T1 - “Ficedula”
T2 - An open-source MATLAB toolbox for cutting, segmenting and computer-aided clustering of bird song
AU - Zsebők, Sándor
AU - Blázi, György
AU - Laczi, Miklós
AU - Nagy, Gergely
AU - Vaskuti, Éva
AU - Garamszegi, László Zsolt
N1 - Publisher Copyright:
© Dt. Ornithologen-Gesellschaft e.V. 2018.
PY - 2018/10
Y1 - 2018/10
N2 - Qualitative and quantitative assessments of bird song repertoires are important in studies related to song learning, sexual selection and cultural evolution. Despite methods for automatic analysis, it is still necessary to engage in manual cutting, segmenting and clustering of bird song elements in many cases. Here, we describe a program, the Ficedula Toolbox, which has been made available for free to the bird song research community and has recently come into extensive use. The main advantages of this package are the opportunity to conduct all processing steps in one framework and the option of carrying out computer-aided manual clustering. Output files are ready for further analyses, such as estimation of repertoire size, sequential analysis and repertoire overlap calculation. With this program, findings based on empirical data from the Collared Flycatcher (Ficedula albicollis) song show high inter-observer similarity, and thus, reproducible results. The toolbox may be especially applicable to the analysis of song in species with moderately high repertoires.
AB - Qualitative and quantitative assessments of bird song repertoires are important in studies related to song learning, sexual selection and cultural evolution. Despite methods for automatic analysis, it is still necessary to engage in manual cutting, segmenting and clustering of bird song elements in many cases. Here, we describe a program, the Ficedula Toolbox, which has been made available for free to the bird song research community and has recently come into extensive use. The main advantages of this package are the opportunity to conduct all processing steps in one framework and the option of carrying out computer-aided manual clustering. Output files are ready for further analyses, such as estimation of repertoire size, sequential analysis and repertoire overlap calculation. With this program, findings based on empirical data from the Collared Flycatcher (Ficedula albicollis) song show high inter-observer similarity, and thus, reproducible results. The toolbox may be especially applicable to the analysis of song in species with moderately high repertoires.
KW - Bird song analysis
KW - Computer-aided manual clustering
KW - Repertoire overlap
KW - Sound analysis software
KW - Syllable repertoire size
UR - http://www.scopus.com/inward/record.url?scp=85059265303&partnerID=8YFLogxK
U2 - 10.1007/s10336-018-1581-9
DO - 10.1007/s10336-018-1581-9
M3 - Article
AN - SCOPUS:85059265303
SN - 2193-7192
VL - 159
SP - 1105
EP - 1111
JO - Journal of Ornithology
JF - Journal of Ornithology
IS - 4
ER -