Chatterjee, Saikat and Sreenivas, TV (2006) Comparison of Prediction Based LSF Quantization Methods using Split VQ. In: 9th International Conference on Spoken Language Processing/INTERSPEECH 2006, 2006, 2006, Pittsburgh, PA, pp. 237-240.Full text not available from this repository.
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.
|Item Type:||Conference Paper|
|Additional Information:||Copyright for this article belongs to ISCA-International Speech Communication Association.|
|Keywords:||LSF Quantization; Predictive Methods.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||08 Jan 2010 05:59|
|Last Modified:||08 Jan 2010 05:59|
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