Automatic generation of four-part harmony

Liangrong Yi; Judy Goldsmith

Automatic generation of four-part harmony

Liangrong Yi
, Judy Goldsmith

Computer Science

Research output: Contribution to journal › Conference article › peer-review

15 Scopus citations

Abstract

This paper introduces decision-theoretic planning techniques into automatic music generation. Markov decision processes (MDPs) are a mathematical model of planning under uncertainty, and factored MDPs demonstrate great advantages in an environment where the state space is large. Given a melody, we use a factored MDP planner to fill in the other three voices, based on the characteristics of classical Western four-part harmony.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	268
State	Published - 2007
Event	BMA 2007 5th UAI Bayesian Modeling Applications Workshop, UAI-AW 2007 - Vancouver, BC, Canada Duration: Jul 19 2007 → Jul 19 2007

ASJC Scopus subject areas

General Computer Science

Cite this

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title = "Automatic generation of four-part harmony",

abstract = "This paper introduces decision-theoretic planning techniques into automatic music generation. Markov decision processes (MDPs) are a mathematical model of planning under uncertainty, and factored MDPs demonstrate great advantages in an environment where the state space is large. Given a melody, we use a factored MDP planner to fill in the other three voices, based on the characteristics of classical Western four-part harmony.",

author = "Liangrong Yi and Judy Goldsmith",

year = "2007",

language = "English",

volume = "268",

note = "BMA 2007 5th UAI Bayesian Modeling Applications Workshop, UAI-AW 2007 ; Conference date: 19-07-2007 Through 19-07-2007",

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TY - JOUR

T1 - Automatic generation of four-part harmony

AU - Yi, Liangrong

AU - Goldsmith, Judy

PY - 2007

Y1 - 2007

N2 - This paper introduces decision-theoretic planning techniques into automatic music generation. Markov decision processes (MDPs) are a mathematical model of planning under uncertainty, and factored MDPs demonstrate great advantages in an environment where the state space is large. Given a melody, we use a factored MDP planner to fill in the other three voices, based on the characteristics of classical Western four-part harmony.

AB - This paper introduces decision-theoretic planning techniques into automatic music generation. Markov decision processes (MDPs) are a mathematical model of planning under uncertainty, and factored MDPs demonstrate great advantages in an environment where the state space is large. Given a melody, we use a factored MDP planner to fill in the other three voices, based on the characteristics of classical Western four-part harmony.

UR - https://www.scopus.com/pages/publications/84885002235

UR - https://www.scopus.com/pages/publications/84885002235#tab=citedBy

M3 - Conference article

AN - SCOPUS:84885002235

SN - 1613-0073

VL - 268

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - BMA 2007 5th UAI Bayesian Modeling Applications Workshop, UAI-AW 2007

Y2 - 19 July 2007 through 19 July 2007

ER -

Automatic generation of four-part harmony

Abstract

ASJC Scopus subject areas

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