Abstract
The technological world, with its current focus on ease and convenience, has undeniably shifted towards developing smart systems, smart buildings and cities. Machine learning and artificial intelligence have become vital tools used in the establishment of smart embedded systems. In this context, a cloud assisted hybrid model based speaker recognition system is proposed. It can be effectively integrated in smart spaces like buildings, offices, homes, etc. This paper proposes a multivariable hybrid model with speaker recognition as biometric verification for identity authentication. It is also connected to the cloud for further security and robustness. The system functionality is successfully tested. Preliminary results are presented. A higher subject dependent speaker recognition accuracy is achieved, for the studied case, with the devised solution.
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