An Efficient Machine Learning Framework for Speaker Authentication using Voice Input
Jagadish N1, Pranay Saha2, Sunny Singh3
1Jagadish N., Assistant Professor, Department of Computer Science and Engineering, S J C Institute of Technology, Chickaballapur (Karnataka), India.
2Sunny Singh, Student, Department of Computer Science and Engineering, S J C Institute of Technology, Chickaballapur (Karnataka), India.
3Pranay Saha, Student, Department of Computer Science and Engineering, S J C Institute of Technology, Chickaballapur (Karnataka), India.
Manuscript received on 21 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 27 June 2019 | PP: 69-72 | Volume-8 Issue-1C May 2019 | Retrieval Number: A10140581C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the advancements in the hardware industry, an increase in the computation power and development in Artificial Methods, we can think of working on cognitive tasks. We have worked on various speech recognition methods using Natural language processing and Hidden Markov Models. We have done the classification of the users on the basis of their utterances. In this paper, we propose a discrete probability approach. The result which we have got gives us high accuracy results in recognizing the speakers. This helps in concluding that Learning and Uncertain reasoning are important components of Artificial Intelligence that could help in the development of solutions to problems which are interesting and complex.
Keywords: Machine Learning, VUI, Cognitive Technology, NLP.
Scope of the Article: Machine Learning