Authors:
N. Ruiz Reyes
;
P. Vera Candeas
;
F. J. Cañadas
;
J. J. Carabias
;
P. Cabañas
and
F. Rodriguez
Affiliation:
University of Jaén, Polytechnic School, Spain
Keyword(s):
Sinusoidal modeling, Matching pursuit, Perceptual distortion, Audio coding, Overcomplete dictionary, Sparse approximation, Complex exponentials.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Audio and Speech Processing
;
Digital Signal Processing
;
Multimedia
;
Multimedia Signal Processing
;
Pattern Recognition
;
Perceptual/Human Audiovisual System Modeling
;
Software Engineering
;
Telecommunications
Abstract:
In this paper, we propose an improved sinusoidal audio modeling method for perceptual matching pursuits driven by a perceptual distortion measure. A linear model derived from the effective signal processing in the ear is used for computing the perceptual distortion measure. This distortion measure allows us to select the most perceptually meaningful sinusoid at each iteration of the pursuit. Furthermore, the distortion measure can be used to define a psychoacoustic stopping criterion for the matching pursuit algorithm. The proposed sinusoidal modeling method is designed to be used in sinusoidal audio coding. Our method provides significant advantages regarding previous works because it achieves a better separation between tones and noise, as can be seen in results.