tf.signal.ifft3d

TensorFlow 1 version

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Computes the inverse Short-time Fourier Transform of stfts.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.signal.inverse_stft

tf.signal.inverse_stft(
    stfts, frame_length, frame_step, fft_length=None,
    window_fn=tf.signal.hann_window, name=None
)

To reconstruct an original waveform, a complementary window function should be used with inverse_stft. Such a window function can be constructed with tf.signal.inverse_stft_window_fn. Example:

frame_length = 400
frame_step = 160
waveform = tf.random.normal(dtype=tf.float32, shape=[1000])
stft = tf.signal.stft(waveform, frame_length, frame_step)
inverse_stft = tf.signal.inverse_stft(
    stft, frame_length, frame_step,
    window_fn=tf.signal.inverse_stft_window_fn(frame_step))

If a custom window_fn is used with tf.signal.stft, it must be passed to tf.signal.inverse_stft_window_fn:

frame_length = 400
frame_step = 160
window_fn = tf.signal.hamming_window
waveform = tf.random.normal(dtype=tf.float32, shape=[1000])
stft = tf.signal.stft(
    waveform, frame_length, frame_step, window_fn=window_fn)
inverse_stft = tf.signal.inverse_stft(
    stft, frame_length, frame_step,
    window_fn=tf.signal.inverse_stft_window_fn(
       frame_step, forward_window_fn=window_fn))

Implemented with TPU/GPU-compatible ops and supports gradients.

Args
`stfts`	A `complex64`/`complex128` `[..., frames, fft_unique_bins]` `Tensor` of STFT bins representing a batch of `fft_length`-point STFTs where `fft_unique_bins` is `fft_length // 2 + 1`
`frame_length`	An integer scalar `Tensor`. The window length in samples.
`frame_step`	An integer scalar `Tensor`. The number of samples to step.
`fft_length`	An integer scalar `Tensor`. The size of the FFT that produced `stfts`. If not provided, uses the smallest power of 2 enclosing `frame_length`.
`window_fn`	A callable that takes a window length and a `dtype` keyword argument and returns a `[window_length]` `Tensor` of samples in the provided datatype. If set to `None`, no windowing is used.
`name`	An optional name for the operation.

Returns
A `[..., samples]` `Tensor` of `float32`/`float64` signals representing the inverse STFT for each input STFT in `stfts`.

Raises
`ValueError`	If `stfts` is not at least rank 2, `frame_length` is not scalar, `frame_step` is not scalar, or `fft_length` is not scalar.

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tf.signal / ifft3d

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