Singh, Vivek (2023) Home automation framework through Voice recognition System for home security. Masters thesis, Dublin, National College of Ireland.
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Abstract
Finding out who is speaking is what speaker recognition is all about. Speaker identification and speaker verification are two categories under which speaker recognition can be categorized. A text-dependent or text-independent method of speaker identification is available. There are different ways and algorithms available for the purpose of voice verification In this paper Mel-Frequency Cepstral Coefficients(MFCC) is used for the purpose of feature extraction and Gaussian Mixture Modeling (GMM) model is used for voice features modelling. In this procedure maximum Loglikelihood feature of voice is being compared for the purpose of decision making.In this study, a secure speaker recognition system is created to match the voice of one speaker with the sound of another speaker with system access permissions, rejecting the alien voice. The novelty which supports this project is when the user with real-time background noise registers its voice is able to successfully match the voice of the user with the registered voices in the system. The results show 70 percent accuracy with more than 34 db of different types of background noise while testing the project.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Pantridge, Michael UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things |
Divisions: | School of Computing > Master of Science in Cyber Security |
Depositing User: | Tamara Malone |
Date Deposited: | 05 May 2023 11:57 |
Last Modified: | 05 May 2023 11:57 |
URI: | https://norma.ncirl.ie/id/eprint/6545 |
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