unframe#

class diffsptk.Unframe(frame_length, frame_period, *, center=True, window='rectangular', norm='none')[source]#

This is the opposite module to Frame().

Parameters:

frame_lengthint >= 1: Frame length, \(L\).
frame_peirodint >= 1: Frame period, \(P\).
centerbool: 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.
window[‘blackman’, ‘hamming’, ‘hanning’, ‘bartlett’, ‘trapezoidal’, ‘rectangular’]: Window type.
norm[‘none’, ‘power’, ‘magnitude’]: Normalization type of window.

forward(y, out_length=None)[source]#

Revert framed waveform.

Parameters:

yTensor [shape=(…, T/P, L)]: Framed waveform.
out_lengthint or None: Length of original signal, T.

Returns:

outTensor [shape=(…, T)]: Waveform.

Examples

>>> x = diffsptk.ramp(1, 9)
>>> frame = diffsptk.Frame(5, 2)
>>> 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.]])
>>> unframe = diffsptk.Unframe(5, 2)
>>> z = unframe(y, out_length=x.size(0))
>>> z
tensor([1., 2., 3., 4., 5., 6., 7., 8., 9.])

diffsptk.functional.unframe(y, *, out_length=None, frame_length=400, frame_period=80, center=True, window='rectangular', norm='none')[source]#

Revert framed waveform.

Parameters:

yTensor [shape=(…, T/P, L)]: Framed waveform.
out_lengthint >= 1 or None: Length of original signal, T.
frame_lengthint >= 1: Frame length, \(L\).
frame_peirodint >= 1: Frame period, \(P\).
centerbool: 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.
window[‘blackman’, ‘hamming’, ‘hanning’, ‘bartlett’, ‘trapezoidal’, ‘rectangular’]: Window type.
norm[‘none’, ‘power’, ‘magnitude’]: Normalization type of window.

Returns:

outTensor [shape=(…, T)]: Waveform.