tf.contrib.signal.inverse_stft

inverse_stft(
    stfts,
    frame_length,
    frame_step,
    fft_length=None,
    window_fn=functools.partial(window_ops.hann_window, periodic=True),
    name=None
)

Defined in tensorflow/contrib/signal/python/ops/spectral_ops.py.

Computes the inverse Short-time Fourier Transform of stfts.

Implemented with GPU-compatible ops and supports gradients.

Args:

• stfts: A complex64 [..., 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 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.