Determining the best proportion of music genre to be played in a radio program

In this paper a scheme for a monitoring system is proposed that can determine the best proportion of music genre to be played in a radio program based on music genre variety and audience feedback. An audio fingerprinting algorithm has been used to determine the music genres played through a radio program. This method is noise and distortion resistant and very scalable. Moreover a feedback system has been employed to gather feedback from audience. Finally an evaluation is presented by observing the data from both steps. To find the proper proportion, the proportion of music genres was changed each time and monitored the system thoroughly to see whether the results change or not. In this approach, the audience behavior can be monitored in music listening and the best proportion of music genre will be determined with a quite good accuracy as well.