tf.signal.linear_to_mel_weight

TensorFlow 1 version

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Reconstructs a signal from a framed representation.

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tf.compat.v1.signal.overlap_and_add

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.

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tf.signal / linear_to_mel_weight_matrix

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