Scalable Parametric Audio Coder Using Sparse Approximation with Frame-to-Frame Perceptually Optimized Wavelet Packet Based Dictionary

Petrovsky A, Herasimovich V, Petrovsky A. Scalable Parametric Audio Coder Using Sparse Approximation with Frame-to-Frame Perceptually Optimized Wavelet Packet Based Dictionary. In: AES Convention 138. Audio Engineering Society; 2015. Paper 9264. Available from: https://aes.org/publications/elibrary-page/?id=17688

@inproceedings{Petrovsky2015_17688,
  author = {Petrovsky, Alexey and Herasimovich, Vadzim and Petrovsky, Alexander},
  title = {{Scalable Parametric Audio Coder Using Sparse Approximation with Frame-to-Frame Perceptually Optimized Wavelet Packet Based Dictionary}},
  booktitle = {AES Convention 138},
  note = {Paper 9264},
  year = {2015},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17688}
}

TY  - CPAPER
TI  - Scalable Parametric Audio Coder Using Sparse Approximation with Frame-to-Frame Perceptually Optimized Wavelet Packet Based Dictionary
AU  - Petrovsky, Alexey
AU  - Herasimovich, Vadzim
AU  - Petrovsky, Alexander
T2  - AES Convention 138
M1  - Paper 9264
PY  - 2015
DA  - 2015/05/06
UR  - https://aes.org/publications/elibrary-page/?id=17688
PB  - Audio Engineering Society
LA  - en
AB  - This paper is devoted to the development of a scalable parametric audio coder based on a matching pursuit algorithm with a frame-based psychoacoustic optimized wavelet packet dictionary. The main idea is to parameterize audio signal with a minimum number of non-negative elements. This can be done by applying sparse approximation such as matching pursuit algorithm. In contrast with current approaches in audio coding based on sparse approximation we introduce a model of dynamic dictionary forming for each frame of input audio signal individually based on wavelet packet decomposition and dynamic wavelet packet tree transformation with psychoacoustic model. Experimental results of developed encoder and comparison with modern popular audio encoders are provided.
ER  -