Quantization process for a predictor filter for vocoder of very

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395 231, G10L 302

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055220096

ABSTRACT:
A quantization process proposes a low data rate for predictor filters of a vocoder with a speech signal broken down into packets having a predetermined number L of frames of constant duration and a weight allocated to each frame according to the average strength of the speech signal in the respective frame. The process involves allocating a predictor filter for each frame and determining the possible configurations for predictor filters having the same number of coefficients and the possible configuration for which the coefficients of a current frame predictor filter are interpolated from the predictor filter coefficients from neighboring frames. Subsequently, a deterministic error is calculated by measuring the distances between the filters in order to form a first stack with a predetermined number of configurations which give the lowest errors. Subsequently, each predictor filter which is in the first stack configuration is assigned a specific weight for weighting a quantization error of each predictor filter as a function of the weight of the neighboring frames of predictor filters and stacking in a second stack, the configurations for which the sum of the deterministic error and the quantization error is minimal after weighting of quantization error by the specific weights. Lastly, the configuration for which a total error is a minimal value is selected from the second stack.

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