dtw

dtw is a Dynamic Time Warping (DTW) module in Python. DTW is a way of calculating the similarity (or conversely, dissimilarity) between time series data. In brief, it works by allowing the time domain to warp to a certain degree to minimise the error. You can read more on DTW here.

Examples (IPython Notebooks):

• a simple example
• a sound comparison based on DTW + MFCC
• simple speech recognition

Installation

With PIP:

pip install dtw

Manually:

1. Obtain Source Code

   • git clone https://github.com/jlc-christie/dtw

   or

   • Download ZIP from GitHub

2. Install

   • python setup.py install