Year: 2018
Type: conference-paper
Abstract: With the rapid development of Internet of Things technology in recent years, speech recognition technology based on artificial intelligence and Internet of Things has gradually penetrated into various fields.In the traditional field of smart home systems, users generally need to manually set function scenes, which are time-consuming and labor-intensive and inconvenient for human-machine system interaction. In order to better meet the needs of people's intelligent life, to provide users with better control experience on smart home appliances, improve the quality of intelligent home life. This article designed a smart home control system that uses iOS as the core, voice recognition module as the interactive means, and MQTT communication protocol as data transfer.The system uses speech recognition technology based on artificial intelligence and deep learning to improve the recognition rate of speech input, achieve perfect interaction between humans and computers, and enable users to truly experience the intelligent and humanized characteristics of smart home systems.
Authors: Linlin Song, Lei Yuan
Institution: Yunnan Normal University
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2888965176