DEVELOPMENT OF AN OPTIMAL EXTRACTED FEATURE CLASSIFICATION SCHEME IN VOICE RECOGNITION SYSTEM USING DYNAMIC CUCKOO SEARCH ALGORITHM

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dc.contributor.authorYUSUF, Sanusi Audee
dc.date.accessioned2018-09-19T08:59:43Z
dc.date.available2018-09-19T08:59:43Z
dc.date.issued2017-12
dc.descriptionA DISSERTATION SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF MASTER OF SCIENCE (M.Sc) DEGREE IN CONTROL ENGINEERING DEPARTMENT OF COMPUTER ENGINEERING, FACULTY OF ENGINEERING, AHMADU BELLO UNIVERSITY, ZARIA, NIGERIAen_US
dc.description.abstractThis research work is aimed at the development of an optimal extracted feature classification scheme in a voice recognition system using dynamic cuckoo search algorithm. This minimized error mismatch in the recognition process and increased accuracy of recognition. Standard voice dataset was obtained from English Language Speech Database for Speaker Recognition (ELSDSR) of the Technical University of Denmark (DTU), processed and key features of these voice data were extracted. A dynamic Cuckoo Search Algorithm (dCSA) was developed, which optimally classify the extracted feature vectors of the speech signals from the voice data for the voice recognition system (using the dataset obtained from ELSDSR database of the DTU. The performance of the developed Voice Recognition System (VRS) with dCSA-based scheme was compared with that of the standard CSA-based scheme using accuracy as performance metrics. The results of the dCSA-based classification scheme showed a recognition accuracy of 93.18% in the VRS when compared with that of the standard CSA-based classification scheme which records 90% accuracy. Simulation was carried out using MATLAB 2013b.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/10483
dc.language.isoenen_US
dc.subjectDEVELOPMENT,en_US
dc.subjectOPTIMAL,en_US
dc.subjectEXTRACTED,en_US
dc.subjectCLASSIFICATION SCHEME,en_US
dc.subjectVOICE RECOGNITION SYSTEM,en_US
dc.subjectDYNAMIC CUCKOO SEARCH,en_US
dc.subjectALGORITHM,en_US
dc.titleDEVELOPMENT OF AN OPTIMAL EXTRACTED FEATURE CLASSIFICATION SCHEME IN VOICE RECOGNITION SYSTEM USING DYNAMIC CUCKOO SEARCH ALGORITHMen_US
dc.typeThesisen_US
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