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.
|
TensorFlow 1 version
View source on GitHub