Open AccessDesign of Artificial Music Intelligence System Based on Fuzzy Perception Learning
Author(s) -
Yumeng He,
Ping He
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/4/042031
Subject(s) - music and artificial intelligence , music perception , perception , computer science , artificial intelligence , music psychology , pop music automation , cognitive science , psychology , musicology , music education , musical composition , pedagogy , neuroscience
The music intelligence of simulated human is of great significance in the research of music informatics. The purpose of this paper is to establish a formal system for describing music intelligence from the perspective of music memory-perception relationship, namely artificial music intelligent system. First, music intelligence is defined as the memory-perception ability of music elements, and a music intelligent system based on music memory mapping and music perception inversion is established by applying the principle of relational mapping-inversion. Secondly, from the perspective of music memory-perception fuzziness, music intelligence index based on fuzzy memory-perception and non-fuzzy memory-perception is proposed, and the solution method is given. Finally, a learning model of music intelligent system is established. Research shows that artificial music intelligence system is a kind of learning system of fuzzy memory-perception, the learning system embodies the basic characteristics of the music nervous system of the human brain, and to establish the artificial music intelligence system to explore people’s music intelligence, improve people’s music cognitive ability and value of music research has far-reaching significance.