Abstract
With the wide popularization of Internet of Things technology, the design and implementation of intelligent speech equipment has attracted more and more researchers’ attention. Speech recognition is one of the core technologies to control intelligent mechanical equipment. In this paper, the English speech recognition function is realized by the Hidden Markov model, which strengthens the processing ability of speech signal, and the intelligent speech equipment is applied to the smart language lab. The test results show that the designed system has comparatively accurate recognition ability to English speech and relatively strong control ability to intelligent device. Users are liberated from the traditional interaction mode and can complete the operation of intelligent language lab by non-contact way of voice signal in a non-fixed place without interrupting the user’s current behavior.
1. Introduction
Internet of Things technology is a comprehensive application technology integrating wireless sensor technology, computer technology, communication technology and embedded technology. In 2008, IBM proposed the three elements of “Smart Planet” : Internet of Things, interconnection and intellectualization. The Internet of Things and the Internet began to integrate comprehensively, which became a milestone event in the development of the Internet of Things. With the commercialization of 5G technology in 2019, the Internet of Things will definitely get greater development, especially in the fields of smart home, smart transportation and smart classroom.
5. Conclusion
Speech recognition control is an important automation technology and has become one of the core technologies of intelligent equipment research and development. Combined with Internet of Things and artificial intelligence technology, an English language lab of intelligent speech control for English learners is built, which is convenient to control and operate various equipment. Teachers and students can adapt to a variety of learning styles, including remote teaching. The speech recognition control system proposed and designed based on Internet of Things in this paper realizes the recognition function of English speech based on HMM algorithm, and uses WTV180 chip to process English speech signal, which greatly improves the speech recognition and processing ability of intelligent devices, and has certain reference value for the research of artificial intelligence related technologies.
