Parameter optimization by a genetic algorithm for a pitch tracking system

Authors:
Yoon-Seok Choi;Byung-Ro Moon
Affiliations:
School of Computer Science & Engineering, Seoul National University, Seoul, Korea;School of Computer Science & Engineering, Seoul National University, Seoul, Korea
Venue:
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Year:
2003

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Abstract

The emergence of multimedia data in databases requires adequate methods for information retrieval. In a music data retrieval system by humming, the first stage is to extract exact pitch periods from a flow of signals. Due to the complexity of speech signals, it is difficult to make a robust and practical pitch tracking system. We adopt genetic algorithm in optimizing the control parameters for note segmentation and pitch determination. We applied the results to HumSearch, a commercialized product, as a pitch tracking engine. Experimental results showed that the proposed engine notably improved the performance of the existing engine in HumSearch.