22 citations · 30 across the 4 of their papers we have counts for
4 papers
An approach to melodic segmentation and classification based on filtering with the Haar-wavelet
Gissel Velarde, Tillman Weyde, David Meredith
We present a novel method of classification and segmentation of melodies in symbolic representation. The method is based on filtering pitch as a signal over time with the Haar-wave…
Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification
Gissel Velarde, Tillman Weyde, David Meredith
The aim of this study is to evaluate a machine-learning method in which symbolic representations of folk songs are segmented and classified into tune families with Haar-wavelet fil…
Understanding and Compressing Music with Maximal Transformable Patterns
David Meredith
We present a polynomial-time algorithm that discovers all maximal patterns in a point set, , that are related by transformations in a user-specified class, $F…
RecurSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators
David Meredith
We introduce two algorithms, RECURSIA and RRT, designed to increase the compression factor achievable using point-set cover algorithms based on the SIA and SIATEC pattern discovery…