dtw

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

DTW (Dynamic Time Warping) python module

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

Python implementation of soft-DTW.

Transfer learning for time series classification

R Package for Time Series Clustering Along with Optimizations for DTW

Data augmentation using synthetic data for time series classification with deep residual networks

Quantify the difference between two arbitrary curves in space

Dynamic Time Warping (DTW) library implementing lower bounds (LB_Keogh, LB_Improved...)

An implementation of soft-DTW divergences.

Comprehensive dynamic time warping module for python

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)

Sync Toolbox - Python package with reference implementations for efficient, robust, and accurate music synchronization based on dynamic time warping (DTW)

A machine learning interface for sequence classification algorithms in Python.

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mode decomposition (EMD); empirical wavelet transform (EWT); Hilbert vibration decomposition (HVD) and many others.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Dynamic Time Warping in Python / C (using ctypes)

A simple framework for gesture recognition in Java

I recorded 10 voices with the same words from myself and compared them with another 10 words from another person. I was able to find a threshold level that acknowledges and recognizes my own voice.

Dynamic Time Warping code in C/C++

wildboar is a Python module for temporal machine learning

Time Alignment Measurement for Time Series

Using MFCC feature and DTW algorithm to recognize rumber 0-9

Python implementation of AWarp algorithm

Dynamic Time Warping single header library for C++

A Python 2.7 implementation of Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW) algorithms for Automated Speech Recognition (ASR).

Implementation of Dynamic Time Warping algorithm with speed improvements based on Numba.