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A Sinusoidal Modeling Approach Based on Perceptual Matching Pursuits for Parametric Audio Coding

In this paper we propose a new sinusoidal modeling method based on perceptual matching pursuits with application to parametric audio coding. Complex exponentials compose the overcomplete dictionary for matching pursuits. The main contribution is the minimization of a perceptual distortion measure defined in the bark scale to select the optimum atom at each iteration of the pursuits. Furthermore, a psychoacoustic stopping criterion for the pursuits is presented. The proposed sinusoidal modeling method is suitable to be integrated into a parametric audio coder based on the three-part model of Sines, Transients and Noise (STN model), as appreciated in experimental results. Our method provides significant advantages regarding previous works mainly because it operates in the bark scale, instead of the frequency scale.

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