ISCA Archive Interspeech 2006
ISCA Archive Interspeech 2006

Comparison of prediction based LSF quantization methods using split VQ

Saikat Chatterjee, T. V. Sreenivas

Further improvement in performance, to achieve near transparent quality LSF quantization, is shown to be possible by using a higher order two dimensional (2-D) prediction in the coefficient domain. The prediction is performed in a closed-loop manner so that the LSF reconstruction error is the same as the quantization error of the prediction residual. We show that an optimum 2-D predictor, exploiting both inter-frame and intra-frame correlations, performs better than existing predictive methods. Computationally efficient split vector quantization technique is used to implement the proposed 2-D prediction based method. We show further improvement in performance by using weighted Euclidean distance.


doi: 10.21437/Interspeech.2006-66

Cite as: Chatterjee, S., Sreenivas, T.V. (2006) Comparison of prediction based LSF quantization methods using split VQ. Proc. Interspeech 2006, paper 1435-Mon1FoP.9, doi: 10.21437/Interspeech.2006-66

@inproceedings{chatterjee06b_interspeech,
  author={Saikat Chatterjee and T. V. Sreenivas},
  title={{Comparison of prediction based LSF quantization methods using split VQ}},
  year=2006,
  booktitle={Proc. Interspeech 2006},
  pages={paper 1435-Mon1FoP.9},
  doi={10.21437/Interspeech.2006-66},
  issn={2958-1796}
}