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Parcor coefficient quantization method, parcor coefficient quantization device, program and storage medium

A quantization method and coefficient technology, applied in speech analysis, code conversion, instrumentation, etc., can solve complex processing and other problems, and achieve the effect of improving the compression rate

Active Publication Date: 2013-11-06
NIPPON TELEGRAPH & TELEPHONE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, in the case of nonlinear quantization, more complex processing is required compared to linear quantization

Method used

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  • Parcor coefficient quantization method, parcor coefficient quantization device, program and storage medium
  • Parcor coefficient quantization method, parcor coefficient quantization device, program and storage medium
  • Parcor coefficient quantization method, parcor coefficient quantization device, program and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0082] Quantization section 100 outputs a value represented by including more significant bits (1 in the case of a binary number) from the most significant bit to the least significant bit as the absolute value of the input PARCOR coefficient increases.

specific example 1

[0084] Let P 1 =3,P 2 =2, R=16, and it is assumed that the PARCOR coefficient K0(i) is expressed in binary with unsigned R bits (the leftmost bit is the most significant bit). That is, when the bit sequence of the PARCOR coefficient K0(i) is a 16-bit abcd efgh ijkl mnop, if the most significant bit ("a") at the left end is 1, the quantization section 100 converts the high-order P 1 bits ("1bc") are sent to the coefficient encoding unit 909 as encoding objects, and if the highest bit ("a") is 0, the quantization unit 100 converts the upper bit P 2 bits ("0b") are sent to the coefficient encoding section 909 as encoding objects. That is, if the highest bit is 1, the 16-bit value of 1xxy yyyy yyyy yyyy becomes the quantized PARCOR coefficient; if the highest bit is 0, the 16-bit value of 0xyy yyyy yyyy yyyy becomes the quantized PARCOR coefficient coefficient. Here, the value of the bit position of x is the same as the value of the corresponding bit in the bit string represen...

specific example 2

[0088] Let P 1 =3,P 2 =2, R=16, and it is assumed that the PARCOR coefficient K0(i) is expressed in binary form by adding R bits with a sign (wherein, the left end bit is assumed to be the most significant bit, and negative numbers are expressed in 2's complement). That is, if the bit string of the PARCOR coefficient K0(i) is a 16-bit Sabc defg hijk lmno, then the most significant bit ("S") at the left end is used to indicate whether the value of the PARCOR coefficient is positive or negative, So if the next bit (the "a" of the second bit from the left) becomes 1, the quantization unit 100 will include the bit to the right (P1 -1) bits ("b" of the third bit from the left and "c" of the fourth bit) 1 +1) bits ("S1bc") are sent to coefficient encoding section 909 as encoding targets. If the bit next to the most significant bit ("S") (the "a" of the second bit from the left) becomes 0, the quantization unit 100 will include the bit to the right of that bit (the third bit from t...

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PUM

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Abstract

On a criterion to minimize the entropy of the linear prediction residual of the input signal used for calculation of the input PARCOR coefficient sequence, PARCOR coefficients with larger absolute values are quantized with higher quantization precisions so as to reduce the increase of the code amount of the linear prediction residual caused by the quantization error of the PARCOR coefficients. If the PARCOR coefficient is represented by a value formed by a predetermined number of bits, the number of effective bits from the most significant bit toward the least significant bit included in the output value increases with the absolute value of the PARCOR coefficient.

Description

Background technique [0001] The invention relates to the lossless coding technology of digital time series signals such as voice signals. Background technique [0002] For example figure 1 As shown, it is assumed that the input signal is processed according to each frame of N samples. Let the input signal be X0(n) (n=1, 2, . . . , N). The maximum number of allowed PARCOR coefficients is set to Pmax times. [0003] The linear predictive analysis unit 901 calculates PARCOR coefficients K0(1), K0(2), ..., K0( Pmax), and output the PARCOR coefficient sequence K0=(K0(1), K0(2),...,K0(P0)) obtained by a certain method (for example, refer to Patent Document 1) to obtain the optimal order P0 and P0 . [0004] The quantization unit 903 quantizes the PARCOR coefficient sequence K0, and outputs the quantized PARCOR coefficient sequence K'0=(K'0(1), K'0(2), ..., K0'(P0)). The inverse transform unit 905 transforms the quantized PARCOR coefficient sequence K'0 into a linear predict...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L19/06H03M7/40G10L19/13G10L19/16
CPCG10L19/0017G10L19/06
Inventor 鎌本优原田登守谷健弘
Owner NIPPON TELEGRAPH & TELEPHONE CORP