Energy-adapted Matching Pursuits in Multi-parts Models for Audio Coding Purposes

Rosa-Zurera M, Vera-Candeas P, Ruiz-Reyes N, Lopez-Ferreras F, Martinez-Munoz D. Energy-adapted Matching Pursuits in Multi-parts Models for Audio Coding Purposes. In: AES Convention 112. Audio Engineering Society; 2002. Paper 5570. Available from: https://aes.org/publications/elibrary-page/?id=11351

@inproceedings{RosaZurera2002_11351,
  author = {Rosa-Zurera, Manuel and Vera-Candeas, Pedro and Ruiz-Reyes, Nicolas and Lopez-Ferreras, Francisco and Martinez-Munoz, Damian},
  title = {{Energy-adapted Matching Pursuits in Multi-parts Models for Audio Coding Purposes}},
  booktitle = {AES Convention 112},
  note = {Paper 5570},
  year = {2002},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11351}
}

TY  - CPAPER
TI  - Energy-adapted Matching Pursuits in Multi-parts Models for Audio Coding Purposes
AU  - Rosa-Zurera, Manuel
AU  - Vera-Candeas, Pedro
AU  - Ruiz-Reyes, Nicolas
AU  - Lopez-Ferreras, Francisco
AU  - Martinez-Munoz, Damian
T2  - AES Convention 112
M1  - Paper 5570
PY  - 2002
DA  - 2002/04/06
UR  - https://aes.org/publications/elibrary-page/?id=11351
PB  - Audio Engineering Society
LA  - en
AB  - The application of the matching pursuit algorithm for extracting sinusoidal components and transients from audio signals is proposed. The resulting residue is perceptually modelled as a noise like signal. This multi-part model (Sines + Transients + Noise) is used for audio coding purposes. First of all, an accurate detection of transients in audio signals is required. When a transient is detected, energy-adapted matching pursuits are accomplished using a wavelet-packet based dictionary and a dictionary of sinusoidal functions. Otherwise, the matching pursuit algorithm is only applied with the harmonic dictionary. In both cases, the resulting residue is then modelled as a noise-like signal using the Equivalent Rectangular Bandwidth (ERB) model. The parameters of this multi-part model are efficiently quantized, taking into account psycho-acoustical information, so as to assure high perceptual quality at low bit rates. The combination of these all ideas results in nearly transparent audio coding at binary rates lower than 32 kbps for most of the CD-quality one channel audio signals considered for testing.
ER  -