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

Ruiz Reyes N, Vera Candeas P. A Sinusoidal Modeling Approach Based on Perceptual Matching Pursuits for Parametric Audio Coding. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6377. Available from: https://aes.org/publications/elibrary-page/?id=13093

@inproceedings{RuizReyes2005_13093,
  author = {Ruiz Reyes, Nicolas and Vera Candeas, Pedro},
  title = {{A Sinusoidal Modeling Approach Based on Perceptual Matching Pursuits for Parametric Audio Coding}},
  booktitle = {AES Convention 118},
  note = {Paper 6377},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13093}
}

TY  - CPAPER
TI  - A Sinusoidal Modeling Approach Based on Perceptual Matching Pursuits for Parametric Audio Coding
AU  - Ruiz Reyes, Nicolas
AU  - Vera Candeas, Pedro
T2  - AES Convention 118
M1  - Paper 6377
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13093
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -