Custom TensorFlow2 implementations of forward and backward computation of soft-DTW algorithm in batch mode.

Last update: Aug 30, 2022

Overview

Batch Soft-DTW(Dynamic Time Warping) in TensorFlow2 including forward and backward computation

Custom TensorFlow2 implementations of forward and backward computation of soft-DTW(Dynamic Time Warping) algorithm in batch mode, which is proposed in paper 《Soft-DTW: a Differentiable Loss Function for Time-Series》.

I have implemented two versions of soft-DTW, one is the original paper, the other is Parallel Tacotron2's paper(with warp penalty). For latter version, I solved the equations of backward computation myself.

If you have questions or improvements about the code, welcome to submit issues ASAP!

Owner

Life is short, do things you love. 人生苦短，做自己热爱的事情。

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Custom TensorFlow2 implementations of forward and backward computation of soft-DTW algorithm in batch mode.

Related tags

Overview

Batch Soft-DTW(Dynamic Time Warping) in TensorFlow2 including forward and backward computation

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