tf.keras.ops.istft

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`.

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])

Args