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.

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.

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])