computig hierarchical quantifier value from music pieces
Project description
Quantify Hierarchicity in Western Classical Music
Python library to compute Information-theoretical based measures on music data. It contains the implementation
-
Mutual information based quantifier to compute the long-term and short-term relationship in a music corpus.
-
Kullback-Leibler divergence based quantifer to compute the Information gain given a section of a piece relative to the hole music piece.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hierchical_quantifier-0.1.0.tar.gz
(572.7 kB
view hashes)
Built Distribution
Close
Hashes for hierchical_quantifier-0.1.0.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ee3048126f4c4095dbd7d33ed491c693bbe9ecda7b006c84d16498a10e9f9090 |
|
| MD5 | 53b8eafc3a0b9e90b69fe081a42710c8 |
|
| BLAKE2b-256 | 9158aa99984d05429c371cfcdeb2b08ca6ea47723fbc713f1026cdb395188ef0 |
Close
Hashes for hierchical_quantifier-0.1.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6177ad4d60faf68fa5d31815028c2f2669c6c2e24b967a081862b903d95536bd |
|
| MD5 | 9dc6a6eaa1c9338e0936f0dbd2d9f04b |
|
| BLAKE2b-256 | 78ed8d55a0764d1e627217d1ae175114e458753a998f6928accf1547104bfbae |
