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。

GitHub Repository

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