Construction of Music Training Intelligent Platform based on Signal Spectrum Collaborative Analysis Algorithm

Abstract

This paper briefly reviews several common distinction theories and their limitations, and goes beyond the category of music itself to analyze the difference between classical music and popular music from the spectrum characteristics of music. As a human-computer interaction interface, the signal projection graph helps analysts visually and interactively identify the number of signals and cluster signal feature data. At the same time, a novel signal flow graph is designed to simultaneously display the multi-feature time-varying characteristics of different radio signals Mode. Optimize the reverse order bit and butterfly operation in the algorithm for the collected audio signal, and then use the optimized algorithm to perform spectrum analysis on audio signals in different formats.