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Nonlinear quantization method of voice linear prediction model

A non-linear quantization and linear prediction technology, applied in the field of speech coding, can solve the problems of poor use effect and high time complexity

Active Publication Date: 2014-03-12
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] In the process of realizing the present invention, the inventor found that there are at least defects such as high time complexity and poor use effect in the prior art

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  • Nonlinear quantization method of voice linear prediction model
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  • Nonlinear quantization method of voice linear prediction model

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[0074] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0075] In view of the problems existing in the existing line spectrum frequency parameter quantization technology, according to the embodiment of the present invention, such as Figure 1-Figure 4 As shown, a nonlinear quantization method of a speech linear prediction model is provided, that is, a nonlinear quantization method of line spectrum frequency parameters based on a probability statistical model. By using the nonlinear quantization method of the speech linear prediction model, the quantization of the linear prediction model can be reliably realized, the quantization loss can be reduced, and the quantization speed can be improved, which has great practical val...

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Abstract

The invention discloses a nonlinear quantization method of a voice linear prediction model. The method comprises the following steps: line spectral frequency parameter transformation step: transforming line spectral frequency parameters of a voice linear coding prediction model into a line spectrum frequency parameter difference value through linear transformation; nonlinearity decorrelation step: decorrelating the line spectrum frequency parameter difference value through nonlinear transformation by adopting a structured method according to a statistical property of the line spectrum frequency parameter difference value; marginal probability distribution calculation step: calculating marginal probability density distribution by utilizing the statistical property of the decorrelated line spectrum frequency parameter difference value; and scale quantizer design step: designing an optimum scale quantizer based on probability density function according to the obtained marginal probability density distribution function. According to the nonlinear quantization method of the voice linear prediction model, the defects that in the prior art, the time complexity is high, the using effect is poor, and the like can be overcome, so that the advantages of low time complexity and good using effect can be realized.

Description

technical field [0001] The invention relates to the technical field of speech coding, in particular to a nonlinear quantization method of a speech linear prediction model. Background technique [0002] With the in-depth development of Internet technology, voice communication technology has made great progress, and the transmitted voice signal has evolved from narrowband signal propagation to broadband signal propagation. With the continuous development and promotion of multimedia applications, people have higher and higher requirements for voice transmission quality and real-time performance in voice communication technology. Therefore, there is an urgent social need to study efficient and reliable voice communication algorithms. [0003] The primary problem to be solved in voice communication is the coding of voice. After decades of development, speech coding technology can be roughly divided into three ways: waveform coding technology, coding technology based on parameter...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L19/035G10L19/07
Inventor 马占宇肖波司中威郭军
Owner BEIJING UNIV OF POSTS & TELECOMM
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