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tf.signal.overlap_and_add

Reconstructs a signal from a framed representation.

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.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/signal/overlap_and_add