A triparametric family of cardinality-based fuzzy similarity measures
Fuzzy Sets and Systems
Smart audio access to multimedia information
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
On a reflexivity-preserving family of cardinality-based fuzzy comparison measures
Information Sciences: an International Journal
Audio interaction with multimedia information
CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
Multi-method audio-based retrieval of multimedia information
WSEAS Transactions on Information Science and Applications
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Spectrum histograms and fluctuation patterns are rep- resentations of audio fragments. By comparing these rep- resentations, we can determine the similarity between the corresponding fragments. Traditionally, this is done using the Euclidian distance. We propose fuzzy similarity mea- sures as an alternative. First we introduce some well-known fuzzy similarity measures, together with certain properties that can be desirable or useful in practice. In particular, we present several forms of restrictability, which allow to re- duce the computation time in practical applications. Next, we show that fuzzy similarity measures can be used to com- pare spectrum histograms and fluctuation patterns. Finally, we describe some experimental observations for this fuzzy approach of constructing audio similarity measures.