Implemented with TPU/GPU-compatible ops and supports gradients.
Args
signals
A [..., samples]float32/float64Tensor 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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]