Entertainment robots based on smartphone terminals for mobile network music E-learning mode

Abstract

This study adopted the method of system requirements analysis to design the functions and structure of the network music E-learning mode system on smartphone terminals. Through research and user requirement analysis, the core functions and requirements of the system were determined, and the system was designed in terms of functionality and structure. The system’s functional design adopts speech recognition technology, enabling entertainment robots to accurately understand user voice commands and questions. Through natural language processing and machine learning algorithms, entertainment robots can analyze user needs and recommend suitable music teaching resources based on their interests and learning goals. Divide the system into two parts: front-end and back-end. The front-end is the user interface, and through a user-friendly graphical interface and interactive design, users can easily operate the system and interact with entertainment robots. The backend is the core processing part of the system, which achieves the application of entertainment robots in the network music E-learning mode on smartphone terminals through the collaboration of the front-end and back-end. The entertainment robot based on smartphone terminals has high effectiveness and feasibility in the application of mobile network music E-learning mode. The performance test results of the system indicate that it can run stably and meet the concurrent needs of a large number of users.