tf.signal.frame

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Expands signal's axis dimension into frames of frame_length.

View aliases

Main aliases

`tf.contrib.signal.frame`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.signal.frame, `tf.compat.v2.signal.frame`

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:

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.