Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/12059,
  title    = {Narrowband Speech Hiding using Vector Quantization},
  author    = {Driss Guerchi and  Fatiha Djebbar},
  country   = {},
  institution={},
  abstract  = {In this work we introduce an efficient method to limit
the impact of the hiding process on the quality of the cover speech.
Vector quantization of the speech spectral information reduces drastically
the number of the secret speech parameters to be embedded
in the cover signal. Compared to scalar hiding, vector quantization
hiding technique provides a stego signal that is indistinguishable from
the cover speech. The objective and subjective performance measures
reveal that the current hiding technique attracts no suspicion about the
presence of the secret message in the stego speech, while being able
to recover an intelligible copy of the secret message at the receiver
side.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {3},
  number    = {5},
  year      = {2009},
  pages     = {1120 - 1123},
  ee        = {http://waset.org/publications/12059},
  url       = {http://waset.org/Publications?p=29},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 29, 2009},
}