tf.signal.stft

Compat aliases for migration

See Migration guide for more details.

tf.signal.stft(
    signals, frame_length, frame_step, fft_length=None,
    window_fn=tf.signal.hann_window, pad_end=False, name=None
)

Implemented with GPU-compatible ops and supports gradients.

Args
`signals`	A `[..., samples]` `float32` `Tensor` of real-valued signals.
`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 to apply. 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.
`pad_end`	Whether to pad the end of `signals` with zeros when the provided frame length and step produces a frame that lies partially past its end.
`name`	An optional name for the operation.

Returns
A `[..., frames, fft_unique_bins]` `Tensor` of `complex64` STFT values where `fft_unique_bins` is `fft_length // 2 + 1` (the unique components of the FFT).

Raises
`ValueError`	If `signals` is not at least rank 1, `frame_length` is not scalar, or `frame_step` is not scalar.

Args