tf.signal.frame | TensorFlow v2.0.0 (original) (raw)
tf.signal.frame
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Expands signal's axis dimension into frames of frame_length.
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SeeMigration guide for more details.
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 axisdimension are padded with pad_value until the window moves fully past the end of the dimension. Otherwise, only window positions that fully overlap theaxis dimension are produced.
For example:
pcm = tf.compat.v1.placeholder(tf.float32, [None, 9152])
frames = tf.signal.frame(pcm, 512, 180)
magspec = tf.abs(tf.signal.rfft(frames, [512]))
image = tf.expand_dims(magspec, 3)
| 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. |