Inverse Short-Time Fourier Transform along the last axis of the input.
tf.keras.ops.istft(
x,
sequence_length,
sequence_stride,
fft_length,
length=None,
window='hann',
center=True
)
To reconstruct an original waveform, the parameters should be the same in
stft
.
Args |
x
|
Tuple of the real and imaginary parts of the input tensor. Both
tensors in the tuple should be of floating type.
|
sequence_length
|
An integer representing the sequence length.
|
sequence_stride
|
An integer representing the sequence hop size.
|
fft_length
|
An integer representing the size of the FFT that produced
stft .
|
length
|
An integer representing the output is clipped to exactly length.
If not specified, no padding or clipping take place. Defaults to
None .
|
window
|
A string, a tensor of the window or None . If window is a
string, available values are "hann" and "hamming" . If window
is a tensor, it will be used directly as the window and its length
must be sequence_length . If window is None , no windowing is
used. Defaults to "hann" .
|
center
|
Whether x was padded on both sides so that the t-th sequence
is centered at time t * sequence_stride . Defaults to True .
|
Returns |
A tensor containing the inverse Short-Time Fourier Transform along the
last axis of x .
|
Example:
x = keras.ops.convert_to_tensor([0.0, 1.0, 2.0, 3.0, 4.0])
istft(stft(x, 1, 1, 1), 1, 1, 1)
array([0.0, 1.0, 2.0, 3.0, 4.0])