This paper introduces a novel method for detecting harmonic boundaries in musical audio signals. These boundaries are very useful for chord analysis because they define temporal chord limits. This harmonic change driven (event driven) analysis of musical audio signals is a better basis for a following chord analysis than the traditionally frame based only concept. The method itself works with circular pitch spaces (CPS). CPSs summarize high level aspects of the audio signal like semantic and music theoretical relationships. Using CPSs entails good results in detecting harmonic changes.
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