Proposing a novel approach for monitoringsongs for the radio broadcasting channels is veryimportant for the interest of singers, writers andmusicians in the musical industry. Singers, writers andmusicians have a claim to intellectual property rightsfor their songs broadcast over all the radio channels.According to this intellectual property rights actsingers, writers and musicians should be paid for theirsongs broadcast over all the radio channels. Therefore wepropose a real time audio monitoring approach to solvethis problem which includes our own audio recognitionalgorithm. It is easy to recognize a song, when you providethe original high quality blueprint of the song as input. Butwe can’t expect such kind of audio input from radiochannels since lots of transformations are possible beforereaching the end user or listener. For example, addingenvironmental effects such as noise, adding commercialson the song as watermarks, playing more than one songas a chain without adding any silence between them,playing a part of the song, playing same song in variousspeeds and so on. These transformations cause change inthe uniqueness of particular song and make the problemeven more difficult. The algorithm we proposing is resistantto noise and distortion as well as it is capable of recognizingshort segment of song when broadcasting over the radiochannels. At the end of the processing our system generatesa descriptive report including title of the song, singer of thesong, writer of the song, composer of the song, number oftimes it was played and when it was played for all songs fora particular period for all radio broadcasting channels. Weevaluate our system against various types of real timescenarios and achieved overall higher level of accuracy(96%) at the end
