Logo
Logo

Goldsmiths - University of London

Algorithms for determining and labelling approximate hierarchical self-similarity

Rhodes, Christophe and Casey, Michael A.. 2007. 'Algorithms for determining and labelling approximate hierarchical self-similarity'. In: International Conference on Music Information Retrieval. Vienna, Austria. [Conference or Workshop Item]

[img]
Preview
Text (algorithms.pdf)
draft.pdf - Accepted Version

Download (109kB) | Preview

Abstract or Description

We describe an algorithm for finding approximate sequence similarity at all scales of interest, being explicit about our modelling assumptions and the parameters of the algorithm. We further present an algorithm for producing section labels based on the sequence similarity, and compare these labels on some expert-provided ground truth for a particular set of recordings.

Item Type: Conference or Workshop Item (Paper)

Departments, Centres and Research Units:

Computing > Intelligent Sound and Music Systems (ISMS)

Dates:

DateEvent
2007Published

Event Location:

Vienna, Austria

Item ID:

2340

Date Deposited:

09 Mar 2014 17:22

Last Modified:

20 Jun 2017 11:52

URI: http://research.gold.ac.uk/id/eprint/2340

View statistics for this item...

Edit Record Edit Record (login required)