Multiple Description Coding for Audio Transmission Using Conjugate Vector Quantization

Cherkaoui S, Kwong M, Lefebvre R. Multiple Description Coding for Audio Transmission Using Conjugate Vector Quantization. In: AES Convention 122. Audio Engineering Society; 2007. Paper 7083. Available from: https://aes.org/publications/elibrary-page/?id=14068

@inproceedings{Cherkaoui2007_14068,
  author = {Cherkaoui, Soumaya and Kwong, Mylene and Lefebvre, Roch},
  title = {{Multiple Description Coding for Audio Transmission Using Conjugate Vector Quantization}},
  booktitle = {AES Convention 122},
  note = {Paper 7083},
  year = {2007},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14068}
}

TY  - CPAPER
TI  - Multiple Description Coding for Audio Transmission Using Conjugate Vector Quantization
AU  - Cherkaoui, Soumaya
AU  - Kwong, Mylene
AU  - Lefebvre, Roch
T2  - AES Convention 122
M1  - Paper 7083
PY  - 2007
DA  - 2007/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14068
PB  - Audio Engineering Society
LA  - en
AB  - This paper explores robustness issues for real-time audio transmission over perturbed networks where multiple paths can be considered. Conjugate Vector Quantization (CVQ), a form of Multiple Description Coding, can improve the resilience to packet losses. This work presents a generalized CVQ structure, where K>2 different conjugate codebooks are trained to create the best resulting codebook. Experiments show that 4-description CVQ performs very closely to unconstrained VQ in clear channel conditions, while providing significant improvements in lossy channels. We also present a fast search algorithm which allows tradeoffs between computational complexity and memory storage at the encoder. This robust quantization scheme can encode sensitive information such as spectral coefficients in a speech coder or a perceptual audio coder.
ER  -