Method and device for vector quantifying of guide resistance spectrum frequency parameter

Abstract

The invention discloses a vector quantization method of an immittance spectrum frequency (ISF) parameter and a vector quantization device of the ISF. The invention also closes a vector quantization coding end method of the ISF parameter, a vector quantization decoding end method of the ISF parameter, a vector quantization device of the ISF parameter, a vector quantization coding end device of the ISF parameter and a vector quantization decoding end device of the ISF parameter. The methods or devices utilize prediction coefficients of unequal coefficient interframe predictor in each dimension to compute the prediction vector of the ISF parameter. Applying the invention can equalize the quantization performances when losing the frame or not in the process of bandwidth voice coding and decoding, improving the quality of voice synthesis.

Description

technical field [0001] The invention relates to the field of speech signal processing, in particular to a vector quantization method and device for Immittance Spectral Frequencies (ISF) parameters. Background technique [0002] In the field of speech coding and decoding, linear prediction (Linear Predictive, LP) parameters are used to characterize the channel synthesis filter. If you want to obtain high-quality synthetic speech, you must use efficient quantization technology to provide the LP coefficients of the channel synthesis filter for quantization, so that the average spectral distortion caused by the quantization of LP coefficients is less than 1dB, so as to achieve high-quality speech codec and Transparent quantization of LP parameters in speech synthesis systems. Due to the large dynamic range of LP parameters, the LP parameters are usually converted into other parameters that are completely equivalent in mathematics before quantization. ISF parameters are an effec...

AI Technical Summary

Problems solved by technology

Among them, the one-step interpolation predictive vector quantization method can realize transparent quantization without missing frames, but in the case of missing frames, it will often affect the correctness of ISF parameters in the decoding process, and then directly affect the quality of synthesized speech

The MA predictive vector quantization method used in ITU-TG.722.2 can recover the ISF parameters better in the case of lost frames, and the error propagation is small, but it needs more bits in the case of no lost frames. Achieve the same transparent quantization effect as one-step interpolation predictive vector quantization without missing frames, and the computational complexity increases

It can be seen that neither the existing one-step interpolation predictive vector quantization nor the MA predictive vector quantization used in ITU-TG. voice quality

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