Development of music teaching system by using speech recognition and intelligent mobile remote device

With the development of voice recognition technology, its application in intelligent music teaching systems and the use of voice control systems to create intelligent classrooms have also become a very difficult problem. The speech recognition algorithm has been used in the research and application of the management of the intelligent music education system, and an improved endpoint recognition algorithm has been used. For example, the speech signal is preprocessed, offset, windowed, cropped, etc., and then endpoint detection is performed to reduce the amount of data. Through the hierarchical matching algorithm, some improvements have been made to the traditional DTW algorithm. Naturalness and efficiency are the themes of human-computer interaction technology. Nowadays, with the diversification of computer expression and the development of multiple human-computer interaction methods, multi-channel human-computer interaction technology has been developed, which combines multiple interaction methods. Voice recognition technology is used for the specific requirements of teachers, students and system administrators participating in distance education for the user role of distance music education. According to the characteristics of music education, a mobile learning platform suitable for music education and system analysis based on the software development process have been developed. It covers a wide range of fields, and the system application creates a comprehensive interactive platform for distance music education of mobile distance learning devices.