Revealing structure in vocalisations of parrots and social whales

by Maria Florencia Noriega Romero Vargas
Doctoral thesis
Date of Examination:2017-08-07
Date of issue:2018-08-06
Advisor:Prof. Dr. Florentin Wörgötter
Referee:Prof. Dr. Marc Timme
Referee:Dr. Kurt Hammerschmidt
Persistent Address: http://dx.doi.org/10.53846/goediss-6992

 

 

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Abstract

English

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
 
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