Method of and device for speech signal coding and decoding by pa

Electrical audio signal processing systems and devices – One-way audio signal program distribution – Public address system

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G10L 500

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active

048603554

ABSTRACT:
This method provides a filtering of blocks of digital samples of speech signal by a linear-prediction inverse filter followed by a shaping filter, whose coefficients are chosen out of a codebook of quantized filter coefficient vectors, obtaining a residual signal subdivided into vectors. Each vector is classified by an index q depending on the zero-crossing frequency and r.m.s. value; it is then normalized on the basis of the quantized r.m.s. value, and then of a vector of quantized short-term mean values; the mean-square error made in quantizing said vectors with vectors contained in a codebook and forming excitation waveforms in computed. In this codebook the search is limited to a subset of vectors determined by index q and p of short-term mean vector. The coding signal consists of the index of the filter coefficient vector, of indices q, p, of quantization index m of the r.m.s. value, and of the index of the vector of the excitation waveform which has generated minimum weighted mean-square error (FIG. 1).

REFERENCES:
An Algorithm for Vector Qunatizer Design by Y. Linde et al., published IEEE Transactions, vol. COM 28, No. 1, Jan. 1980.
A New Model of LPC Excitation . . . by Bishnu S. Atal et al., IEEE 1982, CH-1746-7/82/0000-1614.
Code Excited Linear Prediction CELP . . . by M. R. Schroeder et al., IEEE 1985, CH-2118-8/85/0000-0937.
Distortion Performance of Vector Quantization for LPC Voice Coding by Biing-Hwang Juang et al., IEEE Transactions, vol. ASSP-30, No. 2, Apr. 1982.

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