Quantization of linear prediction coefficients using...

Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission

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C704S219000

Reexamination Certificate

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06889185

ABSTRACT:
A new method for quantization of the LPC coefficients in a speech coder includes a new weighted error measure including every frame sampling an impulse response from LPC filter21of said coder, filtering the samples using a perceptual weighting filter39and processing in a computer39to calculate autocorrelation function of the weighted impulse response, computing Jacobian matrix for LSF (Line Spectral Frequency), computing correlation of rows of Jacobian matrix and calculating LSF weights by multiplying correlation matrices.

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Gardner, W.R et al. “Optimal Distortion Measures for the High Rate Vector Quantization of LPC Parameters”, Int. Conf on Acoustics, Speech, and Signal Proc., 1995, ICASSP-95, vol. 1, p. 752-755.*
Gardner, W.R., Rao, B.D., “Theoretical Analysis of the High-Rate Vector Quantization of LPC Parameters”, IEEE Transactions of Speech and Audio Processing, 1995, vol. 3, No. 5, pp. 367-381.*
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Ronald P Cohn et al., “Incorporating Perception into LSF Quantization Some Experiments” ICASSP 97, Munich, Germany, Apr. 21-24, 1997, pp. 1347-1350, vol. 2.

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