Guided music synthesis with variable Markov Oracle

Cheng I. Wang, Shlomo Dubnov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this work the problem of guided improvisation is approached and elaborated; then a new method, Variable Markov Oracle, for guided music synthesis is proposed as the first step to tackle the guided improvisation problem. Variable Markov Oracle is based on previous results from Audio Oracle, which is a fast indexing and recombination method of repeating sub-clips in an audio signal. The newly proposed Variable Markov Oracle is capable of identifying inherent datapoint clusters in an audio signal while tracking the sequential relations among clusters at the same time. With a target audio signal indexed by Variable Markov Oracle, a query-matching algorithm is devised to synthesize new music materials by recombination of the target audio matched to a query audio. This approach makes the query-matching algorithm a solution to the guided music synthesis problem. The query-matching algorithm is efficient and intelligent since it follows the inherent clusters discovered by Variable Markov Oracle, creating a query-by-content result which allows numerous applications in concatenative synthesis, machine improvisation and interactive music system. Examples of using Variable Markov Oracle to synthesize new musical materials based on given music signals in the style of Jazz are shown.

Original languageEnglish
Title of host publicationMusical Metacreation - Papers from the 2014 AIIDE Workshop, Technical Report
PublisherAI Access Foundation
Pages55-62
Number of pages8
ISBN (Electronic)9781577356875
StatePublished - 1 Jan 2014
Externally publishedYes
Event10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014 - Raleigh, United States
Duration: 4 Oct 2014 → …

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-14-18

Conference

Conference10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014
Country/TerritoryUnited States
CityRaleigh
Period4/10/14 → …

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