DocumentCode :
2724550
Title :
Expert system for intelligent audio codification based in speech/music discrimination
Author :
Expósito, J. E Munioz ; Galán, S. Garcia ; Reyes, N. Ruiz ; Candeas, P. Vera ; Pena, F.R.
Author_Institution :
Dept. of Electron. & Telecommun. Eng., Jaen Univ.
fYear :
2006
fDate :
Sept. 2006
Firstpage :
318
Lastpage :
322
Abstract :
Automatic speech/music discrimination has become a research topic of interest in the last years. This paper presents a new approach for speech/music discrimination, which is based on an expert system that incorporates fuzzy rules into its knowledge base. The proposed scheme consists of three stages: 1) features extraction, 2) audio signal classification, and 3) selection of the best audio coder every 23 ms. The fuzzy expert system improves the accuracy rate of a GMM classifier when included into the classification stage. In order to select the best audio coder, the expert system takes information of the current and past frames into account. It is important to emphasize that the low computational cost of the proposed approach makes it feasible for real time applications
Keywords :
audio coding; expert systems; feature extraction; fuzzy systems; music; signal classification; speech coding; GMM classifier; audio signal classification; features extraction; fuzzy expert system; fuzzy rules; intelligent audio codification; knowledge base; music discrimination; speech discrimination; Audio coding; Expert systems; Feature extraction; Fuzzy systems; Hybrid intelligent systems; Intelligent systems; Multiple signal classification; Pattern classification; Speech analysis; Speech coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolving Fuzzy Systems, 2006 International Symposium on
Conference_Location :
Ambleside
Print_ISBN :
0-7803-9719-3
Electronic_ISBN :
0-7803-9719-3
Type :
conf
DOI :
10.1109/ISEFS.2006.251182
Filename :
4016746
Link To Document :
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