Automatic extraction of popular music ringtones based on music structure analysis
Fengyan Wu, Shutao Sun, Weiyao Xue · 2016
Automatic extraction of popular music ringtones have become an important and useful area for communications and telecommunications industry. Quick and batch extraction of music ringtones increases the convenience in practical application. In this paper, we propose an automatic technology to extract the ringtones from popular music based on the musical structural analysis. This is a meaning attempt to use the theory of musical structural analysis to solve a practical problem. Experiments show the feasibility of the process, several sets of comparative experiments reflect that various stages of threshold may have different effects. The experiments also reflected some problems which inspired us to optimize the processing. On our testing database composed of 186 popular songs, the best accuracy of boundary detection with tolerance ±3 seconds achieves up to 79.9%. We also try to invite strangers to evaluate the result by using voting mechanism.