mdct

diffsptk.MDCT

alias of ModifiedDiscreteCosineTransform

class diffsptk.ModifiedDiscreteCosineTransform(frame_length: int, window: str = 'sine', learnable: bool | list[str] = False, device: device | None = None, dtype: dtype | None = None)

This module is a simple cascade of framing, windowing, and modified DCT.

Parameters:

frame_lengthint >= 2

The frame length, \(L\).

window[‘sine’, ‘vorbis’, ‘kbd’, ‘rectangular’]

The window type.

learnablebool or list[str]

Indicates whether the parameters are learnable. If a boolean, it specifies whether all parameters are learnable. If a list, it contains the keys of the learnable parameters, which can only be “basis” and “window”.

devicetorch.device or None

The device of this module.

dtypetorch.dtype or None

The data type of this module.

forward(x: Tensor) → Tensor

Compute modified discrete cosine transform.

Parameters:

xTensor [shape=(…, T)]

The input waveform.

Returns:

outTensor [shape=(…, 2T/L, L/2)]

The spectrum.

Examples

>>> import diffsptk
>>> mdct = diffsptk.MDCT(frame_length=4)
>>> x = diffsptk.ramp(3)
>>> y = mdct(x)
>>> y
tensor([[-0.5000, -0.2071],
        [-4.4142, -0.4142],
        [-1.0858,  2.6213]])

diffsptk.functional.mdct(x: Tensor, frame_length: int = 400, window: str = 'sine') → Tensor

Compute modified discrete cosine transform.

Parameters:

xTensor [shape=(…, T)]

The input waveform.

frame_lengthint >= 2

The frame length, \(L\).

window[‘sine’, ‘vorbis’, ‘kbd’, ‘rectangular’]

The window type.

Returns:

outTensor [shape=(…, 2T/L, L/2)]

The spectrum.

See also

frame window imdct