dc.contributor.author | Siti Nurhawa, Hassan | |
dc.date.accessioned | 2016-06-17T08:35:18Z | |
dc.date.available | 2016-06-17T08:35:18Z | |
dc.date.issued | 2015-05 | |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42106 | |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | It 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.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Speech recognition | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | Speech recognition -- Design and construction | en_US |
dc.subject | Speech recognition systems | en_US |
dc.title | Speech recognition using artificial neural network | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Dr Md Mijanur Rahman | en_US |
dc.publisher.department | School of Computer and Communication Engineering | en_US |