Speak to perform

dc.contributor.author	Junaid Asghar
dc.contributor.author	Qandil Shahzad
dc.contributor.author	Ahmad Hassan
dc.contributor.author	Butt, Ali Amin
dc.date.accessioned	2014-11-28T11:52:04Z
dc.date.available	2014-11-28T11:52:04Z
dc.date.issued	2014
dc.description.abstract	Automatic recognition of people is a challenging problem which has received much attention during recent years due to its many applications in different fields. Automatic speech recognition performs well under restricted conditions but the performance get worse in noisy environments. Our main purpose of the project was to develop a voice recognition system through which we could operate certain commands of computer e.g. open my computer, shut down computer etc. and we have been very much successful in completing our project. We have searched various computer languages in which we could work and we have far felt better with HMM (hidden Markov model) and Java. We have been fully able to train our computer and complete our project. The development methodology chosen was used to reduce the risk, should the project not be fully completed on time and to be adaptive to unforeseen changes.	en_US
dc.identifier.uri	https://escholar.umt.edu.pk/handle/123456789/1327
dc.language.iso	en	en_US
dc.publisher	University of Management and Technology	en_US
dc.subject	BS Thesis	en_US
dc.subject	Computer Science	en_US
dc.title	Speak to perform	en_US
dc.type	Thesis	en_US

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