README.md 1.25 KiB
Python miscellaneous
Miscellaneous Python code.
Description
- Audio and MIR (Jupyter notebook) Load audio, extract chroma (keys), and perform segmentation with parametric clustering.
- One vs. Others (Jupyter notebook) Shows how the Dynamic Time Warping minimum-warp optimal path could be used to assess anticipation or delay of one moving body relative to other moving bodies.
- DTW, Minimum-Warp Path, and Pointwise Warp (Jupyter notebook) Two methods for the Dynamic Time Warping algorithm: a library function, and a procedural script. Also algorithms to reduce the time-warping of the optimal path and to get its pointwise warp.
- Novelty Shows the computation of a novelty score comparing the methods 'offline' (Foote, 2000) and 'online' (Schätti, 2007).