Room sound field characterization and clustering using global multifractal parameters

This paper introduces one method for room sound field characterization and clustering and it presents part of the research carried out for the purpose of the doctoral dissertation. Room impulse response is the basic source of information in room acoustics. The algorithm provides impulse response characterization and clustering using global multifractal parameters. Large Deviation method is used in calculating the multifractal spectrum. The correlation between different multifractal parameters and room acoustic characteristics is determined. Clusters of impulse responses with identical acoustic characteristics are formed. The test results verify the usability of the proposed algorithm.