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Parameter Optimization by a Genetic Algorithm for a Pitch Tracking System
Yoon-Seok Choi and Byung-Ro Moon
School of Computer Science & Engineering
Seoul National University
Sillim-dong, Gwanak-guSeoul
151-742 Korea
{mickey,moon}@soar.snu.ac.kr
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.
LNCS 2724, p. 2010 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003