Expands signal's axis dimension into frames of frame_length.
tf.signal.frame(
signal, frame_length, frame_step, pad_end=False, pad_value=0, axis=-1, name=None
)
Slides a window of size frame_length over signal's axis dimension
with a stride of frame_step, replacing the axis dimension with
[frames, frame_length] frames.
If pad_end is True, window positions that are past the end of the axis
dimension are padded with pad_value until the window moves fully past the
end of the dimension. Otherwise, only window positions that fully overlap the
axis dimension are produced.
For example:
# A batch size 3 tensor of 9152 audio samples.
audio = tf.random.normal([3, 9152])
# Compute overlapping frames of length 512 with a step of 180 (frames overlap
# by 332 samples). By default, only 50 frames are generated since the last
# 152 samples do not form a full frame.
frames = tf.signal.frame(audio, 512, 180)
frames.shape.assert_is_compatible_with([3, 50, 512])
# When pad_end is enabled, the final frame is kept (padded with zeros).
frames = tf.signal.frame(audio, 512, 180, pad_end=True)
frames.shape.assert_is_compatible_with([3, 51, 512])
Args |
|---|
signal
|
A [..., samples, ...] Tensor. The rank and dimensions
may be unknown. Rank must be at least 1.
|
frame_length
|
The frame length in samples. An integer or scalar Tensor.
|
frame_step
|
The frame hop size in samples. An integer or scalar Tensor.
|
pad_end
|
Whether to pad the end of signal with pad_value.
|
pad_value
|
An optional scalar Tensor to use where the input signal
does not exist when pad_end is True.
|
axis
|
A scalar integer Tensor indicating the axis to frame. Defaults to
the last axis. Supports negative values for indexing from the end.
|
name
|
An optional name for the operation.
|
Returns |
|---|
A Tensor of frames with shape [..., frames, frame_length, ...].
|
Raises |
|---|
ValueError
|
If frame_length, frame_step, pad_value, or axis are not
scalar.
|
TensorFlow 1 version
View source on GitHub