DocumentCode
2896240
Title
MIDI music model
Author
Feldman, Elizabeth
Author_Institution
Univ. of North Florida, Jacksonville, FL, USA
fYear
2015
fDate
9-12 April 2015
Firstpage
1
Lastpage
4
Abstract
Computational music analysis has received extensive research attention in the recent decade. This study explores music as a statistical time series of notes to predict note events in the future given a music excerpt. Instead of using music theory to model the aesthetics of music, this study applies the Holt-Winter Model. The experiment result proves that musical components, such as notes and beats, are statistically related and can be fit by the Holt-Winter Model. The model also shows the ability to predict a specified number of future notes. Such research can be applied to assisting musicians encountering writer´s block.
Keywords
music; statistical analysis; time series; Holt-Winter model; MIDI music model; beats; computational music analysis; music excerpt; musical components; note events; notes; statistical time series; Data models; MATLAB; Market research; Mathematical model; Noise; Prediction algorithms; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
SoutheastCon 2015
Conference_Location
Fort Lauderdale, FL
Type
conf
DOI
10.1109/SECON.2015.7133038
Filename
7133038
Link To Document