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]
|
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: |
|||||
Dates: |
|
||||
Event Location: |
Vienna, Austria |
||||
Item ID: |
2340 |
||||
Date Deposited: |
09 Mar 2014 17:22 |
||||
Last Modified: |
29 Apr 2020 15:58 |
||||
URI: |
View statistics for this item...
Edit Record (login required) |