Samuel Hunt Samuel.Hunt@uwe.ac.uk
Lecturer - Graduate Tutor
Continuation- Musical Note Prediction Through Analysis.
Hunt, Samuel
Authors
Abstract
This paper explores the automatic continuation of melod-ic passages, based on analyses of trends in existing musi-cal corpora, and the challenges of integrating generative processes with manual composition practices and aesthet-ics. While music composition is a personal creative ex-ploration, probability can be used to model the develop-ment of musical pieces.
The papers central theory, referred to as continua-tion, looks to find likely notes that can continue a given input sequence, with the results bound to a probabilistic model. Three methods of continuation are used to gener-ate new content. The first considers composing music using a call-and-response model of interaction with single note prediction. The second considers how the output from the initial process can be fed back as input to con-tinue generating sequences of arbitrary length. The third is a conceptual model that addresses some of the issues with the first two models, also highlighting a powerful extension that utilizes the time domain. A user survey is presented that gauges the musicality of these methods, evaluating the perceived levels of computer-influenced composition. The results of this are discussed along with proposals for future research in this field.
Citation
Hunt, S. (2016). Continuation- Musical Note Prediction Through Analysis. UWE
Report Type | Research Report |
---|---|
Publication Date | Jun 1, 2016 |
Deposit Date | Feb 25, 2020 |
Public URL | https://uwe-repository.worktribe.com/output/5541049 |
You might also like
An analysis of repetition in video game music
(2020)
Conference Proceeding
Exploring polyrhythms, polymeters, and polytempi with the universal grid sequencer framework
(2020)
Conference Proceeding
Composing computer generated music, an observational study using IGME: the Interactive Generative Music Environment
(2020)
Conference Proceeding
Automating algorithmic representations of musical structure using IGME: The Interactive Generative Music Environment
(2019)
Presentation / Conference
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search