Three Dimensional Continuous DP Algorithm for Multiple Pitch Candidates in Music Information Retrieval System
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This paper threats theoretical and practical issues that implement a music information retrieval system based on query by humming. In order to extract accuracy features from the user's humming, we propose a new retrieval method based on multiple pitch candidates. Extracted multiple pitches have shown to be very important parameters in determining melodic similarity, but it is also clear that the confidence measures feature which are obtained from the power are important as well. Furthermore, we propose extending the traditional DP algorithm to three dimensions so that multiple pitch candidates can be treated. Simultaneously, at the melody representation technique, we propose the DP paths are changed dynamically to be able to take relative values so that they can respond to insert or omit notes.