Algorithmic Analysis of Complex Audio Scenes (2008)
Abstract / truncated to 115 words
In this thesis, we examine the problem of algorithmic analysis of complex audio scenes with a special emphasis on natural audio scenes. One of the driving goals behind this work is to develop tools for monitoring the presence of animals in areas of interest based on their vocalisations. This task, which often occurs in the evaluation of nature conservation measures, leads to a number of subproblems in audio scene analysis. In order to develop and evaluate pattern recognition algorithms for animal sounds, a representative collection of such sounds is necessary. Building such a collection is beyond the scope of a single researcher and we therefore use data from the Animal Sound Archive of the Humboldt ... toggle 6 keywordsmultimedia information retrieval – computational bioacoustics – animal sounds – similarity search – source separation – sound archives
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