Development of speech recognition system for remote vocal music teaching based on Markov model

Abstract

With the popularization of smart homes, car audio systems and various speech recognition software, speech recognition systems have gradually entered people’s sights and are favored by most users because of their practicability and accuracy. Cognition is an important interface for human–computer interaction. It will become a research focus in the field of artificial intelligence. It plays an important role in cultivating the basic characteristics of music and cultivating students’ interest in music, and vocal music teaching. Teaching traditional vocal music education to students is in the form of classrooms, such as vocal music, arrangement, and bel canto. The disadvantage is the lack of communication between the classroom and teachers and students. On the other hand, the development of Internet technology provides a new teaching method for traditional vocal music teaching and provides a network infrastructure for building a vocal teaching system platform. Therefore, this article provides a preliminary construction of a remote vocal music education platform by combining vocal music education with Internet technology. The remote audio and video training system is a complex and relatively large project with multiple functions and is to introduce important functions in this system. At the same time, register and log in to the remote voice and video implementation requirements and system functions, respectively, to realize functions such as video training and video-on-demand training.