Compression-based geometric pattern discovery in music

David Meredith, 2014. 2014 4th International Workshop on Cognitive Information Processing (CIP).

Describes two algorithms, COSIATEC and SIATECCOMPRESS, that compress point-set encodings of music, and evaluates them by sorting folk songs into tune families.

Voynich ManuscriptArticledoi: 10.1109/cip.2014.6844503Checked against the original0

What it's used for here

The inductive methods survey cites it with Meredith et al. 2002 for geometric repeated-pattern discovery (test M1).

Cited by on this site 1 record

1 methods surveys

Inductive methods

SRC

Cite it

Meredith, D. (2014). Compression-based geometric pattern discovery in music. 2014 4th International Workshop on Cognitive Information Processing (CIP). https://doi.org/10.1109/cip.2014.6844503

@article{meredith2014compression,
  author = {Meredith, David},
  title = {Compression-based geometric pattern discovery in music},
  journal = {2014 4th International Workshop on Cognitive Information Processing (CIP)},
  year = {2014},
  doi = {10.1109/cip.2014.6844503},
  url = {https://doi.org/10.1109/cip.2014.6844503}
}

TY  - JOUR
TI  - Compression-based geometric pattern discovery in music
AU  - Meredith, David
PY  - 2014
JO  - 2014 4th International Workshop on Cognitive Information Processing (CIP)
DO  - 10.1109/cip.2014.6844503
UR  - https://doi.org/10.1109/cip.2014.6844503
ER  -

Meredith, David. “Compression-based geometric pattern discovery in music.” 2014 4th International Workshop on Cognitive Information Processing (CIP) (2014). https://doi.org/10.1109/cip.2014.6844503.