RETRACTED ARTICLE: Research on the Method of Music Content Analysis Based on Fuzzy Classification

Abstract

In order to analyze the methods of music content research, this paper systematically introduces the fuzzy classification, then constructs the basic framework of music content authentication based on fuzzy classification, in which the content of music with Chroma features were extracted. At the same time, the robust Hash is calculated to verify the accuracy of algorithm to distinguish ability to maintain content operation and malicious tampering and tamper localization. The authentication algorithm of the music signal is divided into a series of unequal note segments, so that each certification unit contains the complete semantic information, and effectively solve the problem of lost synchronization in time domain algorithms exist, for each note fragment extraction contains rich information of the characteristics of middle melody. On this basis, the robust values were calculated, and the metrics were defined based on the statistical and time distribution characteristics that differ from the original music values. In this experiment, the fuzzy logic method was used to classify and made the authentication decision.