Indexing and Retrieving Continuations in Musical Time Series Data Using Relational Databases

Aleksey Charapko; Ching-Hua Chuan

doi:10.1109/ISM.2014.14

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Conference proceeding

Indexing and Retrieving Continuations in Musical Time Series Data Using Relational Databases

Aleksey Charapko and Ching-Hua Chuan

2014 IEEE International Symposium on Multimedia, pp.341-346

2014-12

DOI: https://doi.org/10.1109/ISM.2014.14

Abstract

Buildings

Computational modeling

continuations

Data models

data sequence

database

Indexing

information retrieval

music generation

Relational databases

Time series analysis

This paper proposed and tested a model that provides quick search and retrieval of continuations for time series, particularly musical data, using relational databases. The model extends an existing interactive music-generation system by focusing on large input sequences. Experiments using textural and musical data provided satisfactory performance results for the model.

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Details

Title: Indexing and Retrieving Continuations in Musical Time Series Data Using Relational Databases
Creators: Aleksey Charapko - University of North Florida
Ching-Hua Chuan - University of North Florida
Publication Details: 2014 IEEE International Symposium on Multimedia, pp.341-346
Publisher: IEEE
Academic Unit: School of Communication; School of Communication - Cinema & Interactive Media
Language: English
Resource Type: Conference proceeding
Record Identifier: 991031713365302976