Application of artificial intelligence technology in AI music creation

Aiming at the problem of poor music source files and sound quality in the process of AI music creation, this paper proposes an automatic text generation algorithm to assist the analysis of AI music creation. Firstly, for the text generation task of independent multi-source syntactic structure diagram data, the relationship between multi-source input documents is modeled from semantic association and syntactic dependence, so as to realize the generation of final music writing text. Secondly, considering the problem of difficult to locate related work in massive music texts. Finally, the actual effect of AI music is comprehensively judged. The results show that this paper proposes a text automatic generation algorithm, which can optimize the multimodal encoder, make overall judgment on the internal data, network data, and graph structure of music text, and improve the encoding rate of information and semantics. Therefore, the text automatic generation algorithm can control the music unit, identify the characteristics of multiple modes in music creation, and improve the effect of AI music creation.