delta#

class diffsptk.Delta(seed=[[-0.5, 0, 0.5], [1, -2, 1]], static_out=True)[source]#

See this page for details.

Parameters:

seedlist[list[float]] or list[int]: Delta coefficients or width(s) of 1st (and 2nd) regression coefficients.
static_outbool: If False, output only delta components.

forward(x)[source]#

Compute delta components.

Parameters:

xTensor [shape=(B, T, D) or (T, D)]: Static components.

Returns:

outTensor [shape=(B, T, DxH) or (T, DxH)]: Delta (and static) components.

Examples

>>> x = diffsptk.ramp(1, 8).view(1, -1, 2)
>>> x
tensor([[[1., 2.],
         [3., 4.],
         [5., 6.],
         [7., 8.]]])
>>> delta = diffsptk.Delta([[-0.5, 0], [0, 0, 0.5]])
>>> y = delta(x)
>>> y
tensor([[[ 1.0000,  2.0000, -0.5000, -1.0000,  1.5000,  2.0000],
         [ 3.0000,  4.0000, -0.5000, -1.0000,  2.5000,  3.0000],
         [ 5.0000,  6.0000, -1.5000, -2.0000,  3.5000,  4.0000],
         [ 7.0000,  8.0000, -2.5000, -3.0000,  3.5000,  4.0000]]])

diffsptk.functional.delta(x, seed=[[-0.5, 0, 0.5]], static_out=True)[source]#

Compute delta components.

Parameters:

xTensor [shape=(B, T, D) or (T, D)]: Static components.
seedlist[list[float]] or list[int]: Delta coefficients or width(s) of 1st (and 2nd) regression coefficients.
static_outbool: If False, output only delta components.

Returns:

outTensor [shape=(B, T, DxH) or (T, DxH)]: Delta (and static) components.