Description (eng):
Music Information Retrieval (MIR) is a broad area of research, in which numerous different algorithms are used to describe music audio signals.  This thesis reviews if established descriptor techniques are capable of an appropriate description of club music.  The following aspects are discussed in detail:
• At first, this thesis presents a collection of common descriptor algorithms, which is based on extensive scholarly research.  Later adequate methods are preselected and thoroughly discussed. 
• Furthermore, these selected methods are used to analyze a sampling of club music, with the help of MIRtoolbox in the Matlab environment. 
• Results are processed with methods of descriptive statistics and selected descriptors are tested whether they are capable of accurately describing the chosen sample of club music. 
The experimental part of this thesis proofs that the established descriptor techniques used for the analysis of club music are found to be valid to a certain extend and qualified to distinguish between different audio files.  In conclusion, there are very few studies in this particular musical field, therefore this thesis provides an ample basis for further studies.