Spec-Zone.ru › TensorFlow 2.4 tf.signal.overlap_and_add Reconstructs a signal from a framed representation.
tf.signal.overlap_and_add(
signal, frame_step, name=None
)
Adds potentially overlapping frames of a signal with shape [..., frames, frame_length], offsetting subsequent frames by frame_step. The resulting tensor has shape [..., output_size] where
output_size = (frames - 1) * frame_step + frame_length
Args signal A [..., frames, frame_length] Tensor. All dimensions may be unknown, and rank must be at least 2.
frame_step An integer or scalar Tensor denoting overlap offsets. Must be less than or equal to frame_length.
name An optional name for the operation.
Returns A Tensor with shape [..., output_size] containing the overlap-added frames of signal's inner-most two dimensions.
Raises ValueError If signal's rank is less than 2, or frame_step is not a scalar integer.
