Design and implementation of a personalized vocal music teaching system assisted by artificial intelligence algorithms

The rapid development of arti icial intelligence technology has made its application in the ield of education increasingly widespread.The purpose of this paper is to design and implement a personalized vocal music teaching system based on arti icial intelligence algorithms to solve the problems of single teaching method and lack of personalized guidance that exist in traditional vocal music teaching.The overall architecture of the system is constructed by analyzing the demand for vocal music teaching and combining deep learning and other arti icial intelligence technologies.The key algorithms involved in the system are elaborated in detail, including the personalized recommendation algorithm of the learning path fused with the long and short-term memory network (LSTM) and the attention mechanism, and the intelligent evaluation algorithm that includes the evaluation of pitch, rhythm and timbre.Through practical application cases, it is veri ied that the system in this paper can effectively improve the teaching effect of vocal music and students' vocal music professionalism, providing an important auxiliary role and key ideas for the innovative development of vocal music teaching.