Warped linear prediction of physical model excitations with applications in audio compression and instrument synthesis

Authors:
Alexis Glass;Kimitoshi Fukudome
Affiliations:
Department of Acoustic Design, Graduate School of Design, Kyushu University, Shiobaru, Minami-ku, Fukuoka, Japan;Department of Acoustic Design, Faculty of Design, Kyushu University, Shiobaru, Minami-ku, Fukuoka, Japan
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2004

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Parameter estimation of a plucked string synthesis model using a genetic algorithm with perceptual fitness calculation

EURASIP Journal on Applied Signal Processing

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Abstract

A sound recording of a plucked string instrument is encoded and resynthesized using two stages of prediction. In the first stage of prediction, a simple physical model of a plucked string is estimated and the instrument excitation is obtained. The second stage of prediction compensates for the simplicity of the model in the first stage by encoding either the instrument excitation or the model error using warped linear prediction. These two methods of compensation are compared with each other, and to the case of single-stage warped linear prediction, adjustments are introduced, and their applications to instrument synthesis and MPEG4's audio compression within the structured audio format are discussed.