Revealing structure in vocalisations of parrots and social whales

Revealing structure in vocalisations of parrots and social whales

Noriega Romero Vargas, Maria Florencia

Dissertation

Angenommen am: 2017-08-07

Erschienen: 2018-08-06

Betreuer: Wörgötter, Florentin Prof. Dr.

Gutachter: Timme, Marc Prof. Dr.

Gutachter: Hammerschmidt, Kurt Dr.

Zum Verlinken/Zitieren: http://hdl.handle.net/11858/00-1735-0000-002E-E469-8

Dateien

Name: thesis.pdf

Größe: 16,6 MB

Format: PDF

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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