Speech/Music Classification Based on Distributed Evolutionary Fuzzy Logic for Intelligent Audio Coding

Authors:
J. E. Muñoz Expósito;N. Ruiz Reyes;S. Garcia Galán;P. Vera Candeas
Affiliations:
Telecommunication Engineering Department, University of Jaén, Polytechnic School, C/ Alfonso X el Sabio 28, 23700 Linares, Jaén, Spain;Telecommunication Engineering Department, University of Jaén, Polytechnic School, C/ Alfonso X el Sabio 28, 23700 Linares, Jaén, Spain;Telecommunication Engineering Department, University of Jaén, Polytechnic School, C/ Alfonso X el Sabio 28, 23700 Linares, Jaén, Spain;Telecommunication Engineering Department, University of Jaén, Polytechnic School, C/ Alfonso X el Sabio 28, 23700 Linares, Jaén, Spain
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Year:
2007

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Abstract

Automatic Speech/Music Discrimination (SMD) has become a research topic of interest in the last years. This paper present a new approach for such goal, which is mainly based on a distributed expert system that incorporates fuzzy rules into its knowledge base. The proposed SMD scheme consists of two stages: 1) features extraction, 2) classification of parameters. Classification is performed by cascading a GMM-based classifier with an Evolutionary Fuzzy Expert (EFE) system. The EFE system improves the accuracy rate provided by the GMM-based classifier taking into account information of current and past audio frames. Testing the kindness of new fuzzy rules for the expert system has a high computacional cost. For that reason, a distributed learning approach based on web services has been implemented.