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GECCO
2003
Springer

Parameter Optimization by a Genetic Algorithm for a Pitch Tracking System

13 years 8 months ago
Parameter Optimization by a Genetic Algorithm for a Pitch Tracking System
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.
Yoon-Seok Choi, Byung Ro Moon
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where GECCO
Authors Yoon-Seok Choi, Byung Ro Moon
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