tf.signal.stft

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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
)

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

Args:

• 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.

Returns:

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).

Raises:

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