Analysis-synthesis of musical sounds by hybrid models

Abstract

Analysis-synthesis consists of constructing synthetic sounds from natural sounds by algorithmic synthesis methods. The models used for this purpose are of two kinds: physical models which take into account the physical characteristics of the instrument and signal models which take into account perceptual criteria. By combining physical and signal models hybrid models can be constructed taking advantage of the positive aspects of both methods. In this presentation I show how hybrid models can be adapted to specific instruments producing both sustained and plucked sounds. In these cases signal models are used to model the nonlinear source signal. The parameters of these models are obtained from perceptual criteria such as the spectral centroid or the tristimulus. The source signal is further injected into the physical model which consists of a digital wave guide model. The parameters of the physical model are extracted from the natural sound by analysis based on linear time-frequency representations such as the Gabor and the wavelet transforms. The models which will be presented are real-time compatible and in the flute case an interface adapted to a traditional flute which pilots a hybrid model will be described.