Method and device for selecting conductivity coefficient vector quantization

A coefficient vector and vector quantization technology, applied in the field of digital speech coding, can solve the problems of impairing the quality of wideband speech coding, not distinguishing between strong and weak correlation, and not considering spectral frequency, so as to reduce the dynamic range, improve the prediction gain, The effect of improving encoding quality

Inactive Publication Date: 2008-06-04
HUAWEI TECH CO LTD +1
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Problems solved by technology

[0023] However, the existing technology does not consider the characteristics of the spectral frequency (ISF) coefficient itself, and does not distinguish between strong and weak correlations. The quantization method is relatively simple, resulting in relatively large quantization errors and damaging the quality of wideband speech coding.

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  • Method and device for selecting conductivity coefficient vector quantization
  • Method and device for selecting conductivity coefficient vector quantization
  • Method and device for selecting conductivity coefficient vector quantization

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Embodiment Construction

[0038] The encoding end splits the ISF coefficient vector into at least two groups of sub-vectors; for each group of sub-vectors, respectively perform inter-frame guide spectrum strong correlation and weak correlation vector quantization, calculate the residual signal after strong and weak correlation vectorization, and calculate the Describe the quantization errors of strong and weakly correlated residual signals; respectively judge whether the quantized errors of strongly correlated residual signals of each group of sub-vectors are less than or equal to the quantized errors of weakly correlated residual signals, and if so, select the strong correlation method for this group Perform vector quantization of ISF coefficients, otherwise, select a weak correlation method for vector quantization of ISF coefficients for this group; each group outputs vector quantization indexes of ISF coefficients respectively. The decoding end searches the codebook according to the ISF coefficient v...

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Abstract

The invention discloses a method and a device for quantifying the vectors of the induced spectrum frequency (ISF) coefficients, which includes the steps as follows: the ISF coefficients are divided into at least two groups of sub-vectors; the inter-frame strong- and weak-correlation vectors of the induced spectrum are quantified for each group of sub-vectors; the residual signals are calculated after the strong- and weak-correlation vectors are quantified; the quantification errors of the above residual signals are also calculated; the quantification errors of the strong- and weak-correlation residual signals are judged for each group of sub-vectors; and the ISF coefficient vectors of the correlation manner with less quantification error in each group are quantified. The invention is based on the short-time correlation and the long-time correlation of the induced spectrum frequency coefficients, and different forecast coefficients are hereby applied to different dimension of the induced spectrum frequency coefficients, thus increasing forecast gains, narrowing the variation range of the residual signals, enhancing the accuracy for the ISF coefficients quantification, achieving clear quantification, and improving the quality for broadband phonetic coding.

Description

technical field [0001] The invention relates to the technical field of digital speech coding, in particular to a method and a device for vector quantization of selected pilot spectrum frequency (ISF) coefficients. Background technique [0002] The linear prediction coefficient (LPC) of the speech signal can more accurately represent the short-term amplitude spectrum envelope of the speech signal, and is applied in the current medium and low-rate speech coding: such as Code Excitation Linear Prediction (CELP, Code Excitation Linear Prediction), many With excitation coding (MBE, MultibandExcitation Coding), waveform interpolation coding (WI, Waveform Interpolation), etc., but the LPC coefficient has a wide dynamic range and instability in the synthesis filter, so the LPC coefficient is not suitable for direct quantization. In view of the above problems, it is necessary to convert LPC to other representations in the research of speech spectral envelope quantization to ensure th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/12G10L19/14G10L19/038
Inventor 胡瑞敏高戈张勇石雾岚吴云佳王庭红马付伟
Owner HUAWEI TECH CO LTD
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