Voice Recognition Control System Based on Cloud Computing and IoT Sensors

Abstract

In order to meet the increasing demand for accuracy, stability, and response speed of the voice recognition function of smart home products, the author proposes a smart home voice control system scheme based on the use of smart home Internet gateways to complete remote voice control and environmental monitoring tasks. This method firstly tests the existing home appliance network of the smart home voice control system to verify the feasibility of the author’s design. Then, the voice recognition task is transferred to the cloud server, and the smart home Internet gateway only needs to perform data upload, command execution, and protocol analysis. Then, the test set tests the speech enhancement algorithm in the Aishell library. Experimental results show that the processing speed of the voice enhancement method designed by the author is much higher than that of DNN-noise classification, and its processing speed can reach 0.179 s, which is more suitable as a voice enhancement method for smart home voice control systems. Using this method for voice recognition control can meet the increasing demands of the voice recognition function of smart home products for accuracy, stability, and response speed and make people’s lives more convenient and comfortable.