Low-complexity source coding using Gaussian mixture models, lattice vector quantization, and recursive coding with application to speech spectrum quantization

Anand D. Subramaniam, W. R. Gardner, Bhaskar D. Rao. Low-complexity source coding using Gaussian mixture models, lattice vector quantization, and recursive coding with application to speech spectrum quantization. IEEE Transactions on Audio, Speech & Language Processing, 14(2):524-532, 2006. [doi]

@article{SubramaniamGR06a,
  title = {Low-complexity source coding using Gaussian mixture models, lattice vector quantization, and recursive coding with application to speech spectrum quantization},
  author = {Anand D. Subramaniam and W. R. Gardner and Bhaskar D. Rao},
  year = {2006},
  doi = {10.1109/TSA.2005.855839},
  url = {http://doi.ieeecomputersociety.org/10.1109/TSA.2005.855839},
  tags = {source-to-source, peer-to-peer, open-source},
  researchr = {https://researchr.org/publication/SubramaniamGR06a},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Audio, Speech & Language Processing},
  volume = {14},
  number = {2},
  pages = {524-532},
}