Developing a Speech Recognition System using Deep Learning with LabVIEW in Smart Home Devices

Abstract

The main goal of this paper is to enhance the response of smart devices to voice commands by employing LabVIEW and deep learning for voice recognition. The research works to create an audio sensing system that can effectively recognize voice inputs in real time, even in noisy or difficult conditions, giving consumers a natural interface that enables them to interact directly with their tools. To achieve this purpose, it is necessary to collect and analyze a set of audio data for the smart home device. A deep learning model was trained using this dataset and then tested to see how well it could recognize speech in a smart home environment. The research also addresses alternative methods for protecting user information and considers the privacy and security implications of using a speech detection system in a smart home device. The results showed the success of the experiment in creating a sensor system based on LabVIEW to recognize speech with smart home devices and maintain security and privacy at the same time.