Mohammed Algabria,c, Mohamed Abdelkader Bencherifc, Mansour Alsulaimanb,c, Ghulam Muhammadb, Mohamed Amine Mekhtichec
Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 267-274, 2018, DOI:10.1080/10798587.2017.1278961
Abstract A method that uses fuzzy logic to classify two simple speech features for the automatic classification
of voiced and unvoiced phonemes is proposed. In addition, two variants, in which soft computing
techniques are used to enhance the performance of fuzzy logic by tuning the parameters of the
membership functions, are also presented. The three methods, manually constructed fuzzy logic
(VUFL), fuzzy logic optimized with genetic algorithm (VUFL-GA), and fuzzy logic with optimized
particle swarm optimization (VUFL-PSO), are implemented and then evaluated using the TIMIT speech
corpus. Performance is evaluated using the TIMIT database in both clean and noisy environments. Four… More >
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