Sinusoidal Parameter Extraction and Component Selection in a non Stationary Model

Mathieu Lagrange; Sylvain Marchand; Jean-Bernard Rault
DAFx-2002 - Hamburg
In this paper, we introduce a new analysis technique particularly suitable for the sinusoidal modeling of non-stationary signals. This method, based on amplitude and frequency modulation estimation, aims at improving traditional Fourier parameters and enables us to introduce a new peak selection process, so that only peaks having coherent parameters are considered in subsequent stages (e.g. partial tracking, synthesis). This allows our spectral model to better handle natural sounds.