tf.signal.stft

Computes the Short-time Fourier Transform of signals.

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

Used in the notebooks

Used in the tutorials

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

signals A [..., samples] float32/float64 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.

A [..., frames, fft_unique_bins] Tensor of complex64/complex128 STFT values where fft_unique_bins is fft_length // 2 + 1 (the unique components of the FFT).

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