tf.contrib.signal.overlap_and_add

tf.contrib.signal.overlap_and_add(
    signal,
    frame_step,
    name=None
)

Defined in tensorflow/contrib/signal/python/ops/reconstruction_ops.py.

See the guide: Signal Processing (contrib) > Reconstructing framed sequences and applying a tapering window

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, frame_step is not a scalar integer or frame_step is greater than frame_length.