Programmer Guide/SPU Reference/LPCOEFS: Difference between revisions
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This function computes the LP (linear prediction) coefficients for the speech signal x using the autocorrelation method. The signal vector <var>x</var> must be windowed before being connected to this atom. An optional pre-filtering (differentiation, if <var>d</var>><code>0</code>) is applied to the signal before the coefficients' iteration. The algorithms used in this function are based on the algorithms published by J.D.Markel and A.H.Gray in "Linear Prediction of Speech". | This function computes the LP (linear prediction) coefficients for the speech signal x using the autocorrelation method. The signal vector <var>x</var> must be windowed before being connected to this atom. An optional pre-filtering (differentiation, if <var>d</var>><code>0</code>) is applied to the signal before the coefficients' iteration. The algorithms used in this function are based on the algorithms published by J.D.Markel and A.H.Gray in "Linear Prediction of Speech". | ||
Linear prediction coefficients selected by input <var>type</var>{| | Linear prediction coefficients selected by input <var>type</var> | ||
{| | |||
|- | |- | ||
|value of <var>type</var> | |value of <var>type</var> | ||
Latest revision as of 10:50, 3 May 2018
LPCOEFS - linear prediction coefs.
Usage:
LPCOEFS x n d type
Inputs:
| x | signal vector | no default |
| n | number of coefficients | def=20
|
| d | pre-emphasis (differentiation factor, 0..1)
|
def.=1
|
| type | selects the coefficient type | def.=RC
|
Outputs:
| y | coefficients (n or n+1 values)
|
| alpha | error energy |
| rc | reflection coefficients |
Function:
This function computes the LP (linear prediction) coefficients for the speech signal x using the autocorrelation method. The signal vector x must be windowed before being connected to this atom. An optional pre-filtering (differentiation, if d>0) is applied to the signal before the coefficients' iteration. The algorithms used in this function are based on the algorithms published by J.D.Markel and A.H.Gray in "Linear Prediction of Speech".
Linear prediction coefficients selected by input type
| value of type | type of coefficients stored in y | number of coefs. |
0 or AI
|
inverse filter coefficients | n+1 |
1 or RC
|
reflection coefficients | n |
2 or AREA
|
area coefficients | n |
3 or LOGAREA
|
logarithmic area coefficients | n |
