frame#

class diffsptk.Frame(frame_length, frame_period, center=True, zmean=False)[source]#

See this page for details.

Parameters

frame_lengthint >= 1 [scalar]: Frame length, \(L\).
frame_peirodint >= 1 [scalar]: Frame period, \(P\).
centerbool [scalar]: If True, assume that the center of data is the center of frame, otherwise assume that the center of data is the left edge of frame.
zmeanbool [scalar]: If True, perform mean subtraction on each frame.

forward(x)[source]#

Apply framing to given waveform.

Parameters

xTensor [shape=(…, T)]: Waveform.

Returns

yTensor [shape=(…, N, L)]: Framed waveform.

Examples

>>> x = torch.arange(1, 10)
>>> frame = diffsptk.Frame(5, 3)
>>> y = frame(x)
>>> y
tensor([[0, 0, 1, 2, 3],
        [1, 2, 3, 4, 5],
        [3, 4, 5, 6, 7],
        [5, 6, 7, 8, 9],
        [7, 8, 9, 0, 0]])