Revealing structure in vocalisations of parrots and social whales
von Maria Florencia Noriega Romero Vargas
Datum der mündl. Prüfung:2017-08-07
Erschienen:2018-08-06
Betreuer:Prof. Dr. Florentin Wörgötter
Gutachter:Prof. Dr. Marc Timme
Gutachter:Dr. Kurt Hammerschmidt
Dateien
Name:thesis.pdf
Size:16.5Mb
Format:PDF
Zusammenfassung
Englisch
This thesis proposes methods to investigate structure in bioacoustic signals. For this two frameworks are proposed. The first concerns the automatic annotation of audio recordings by using supervised machine learning methods. The second concerns a quantitative analysis of temporal and combinatorial patterns in vocal sequences of animals by using non-parametric statistics. These methods are used to investigate vocalisations of two wild living animals — known very little — in their natural ecosystems: lilac crowned parrots and pilot whales.
Keywords: bioacoustics; pilot whales; parrots; audio signal processing; machine learning; animal vocalisations