System and Method for Predicting Music Popularity using the Signal Component Analysis

摘要

The present invention relates to a system and a method for predicting music popularity using signal component analysis to predict how successful a newly released album is likely to be by analyzing a correlation between characteristic components of a music signal and the trends and building a popularity prediction model. The system comprises: a sound source input part inputting a music file for building a popularity prediction model and predicting popularity; a data extraction part extracting a signal component for analyzing a correlation between the music trends and the same; a correlation analysis part for performing analysis of the correlation for building a music popularity prediction model by analyzing the chord, rhythm, and timbre elements and stimulating elements extracted by the data extraction part; a chart ranking information input part providing ranking information for analyzing the correlation for building the music popularity prediction model in the correlation analysis part; and a popularity prediction result output part building the music popularity prediction model by using the analysis result of the correlation analysis part and outputting the result of popularity chart prediction and popularity probability prediction by using the built music popularity prediction model when the music file for predicting music popularity is inputted.