Application of Improved DTW Algorithm in Smart Home Industry

Abstract

Based on the mobile era, with the rapid development of the Internet of Things and artificial intelligence technology, human-computer interaction based on intelligent voice has become one of the main stream in people’s daily life. Taking the intelligent voice interaction technology as a clue, this article first elaborates the practical application of intelligent voice human-computer interaction in smart homes and other daily life fields. After analyzing this, it is found that even intelligent voice has greatly facilitated people Daily life, but there are still shortcomings, that is, the machine cannot efficiently and accurately recognize the language commands given by people, and there is a voice recognition barrier. Secondly, we learned about the DTW algorithm by reading related books and literature, and found that it solves the problem of template matching with different pronunciation lengths, but the recognition efficiency and accuracy are not high, so we propose improvements based on the original intelligent voice interaction technology. The method is to improve the local path restriction and improve the efficiency of the DTW algorithm. The purpose is to make the machine more intelligent, improve its ability to recognize and understand text and language, and achieve barrier-free communication between humans and machines. The research method can provide a feasible reference for the improvement of intelligent voice interaction technology. The advantage is that it not only promotes the development of intelligent voice human-computer interaction, but also ensures that people can have a more intelligent and convenient life.