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dc.contributor.authorSiti Nurhawa, Hassan
dc.date.accessioned2016-06-17T08:35:18Z
dc.date.available2016-06-17T08:35:18Z
dc.date.issued2015-05
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/42106
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractIt is a well-known fact that building speech recognition systems is one of the hottest areas of research. Speech recognition has been an important part of the civilization for many centuries. We depend on intelligent and recognizable sounds for common communications. In this project, spoken commands are recognized by the system and executed. The project consists of two phases. The first part deals with recognizing the format frequencies associated with the input voice and the second phase involves pattern classification using Artificial Neural Networks.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectSpeech recognitionen_US
dc.subjectArtificial Neural Networken_US
dc.subjectSpeech recognition -- Design and constructionen_US
dc.subjectSpeech recognition systemsen_US
dc.titleSpeech recognition using artificial neural networken_US
dc.typeLearning Objecten_US
dc.contributor.advisorDr Md Mijanur Rahmanen_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US


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