Neural Translation of Musical Style

Iman Malik; Carl Henrik Ek

Neural Translation of Musical Style

Iman Malik
, Carl Henrik Ek

Research output: Contribution to journal › Article (Academic Journal)

Abstract

Music is an expressive form of communication often used to convey emotion in scenarios where "words are not enough". Part of this information lies in the musical composition where well-defined language exists. However, a significant amount of information is added during a performance as the musician interprets the composition. The performer injects expressiveness into the written score through variations of different musical properties such as dynamics and tempo. In this paper, we describe a model that can learn to perform sheet music. Our research concludes that the generated performances are indistinguishable from a human performance, thereby passing a test in the spirit of a "musical Turing test".

Original language	Undefined/Unknown
Journal	arXiv
Publication status	Published - 11 Aug 2017

Keywords

cs.SD
cs.NE

Handle.net

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Cite this

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title = "Neural Translation of Musical Style",

abstract = " Music is an expressive form of communication often used to convey emotion in scenarios where {"}words are not enough{"}. Part of this information lies in the musical composition where well-defined language exists. However, a significant amount of information is added during a performance as the musician interprets the composition. The performer injects expressiveness into the written score through variations of different musical properties such as dynamics and tempo. In this paper, we describe a model that can learn to perform sheet music. Our research concludes that the generated performances are indistinguishable from a human performance, thereby passing a test in the spirit of a {"}musical Turing test{"}. ",

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author = "Iman Malik and Ek, \{Carl Henrik\}",

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publisher = "Cornell University",

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TY - JOUR

T1 - Neural Translation of Musical Style

AU - Malik, Iman

AU - Ek, Carl Henrik

PY - 2017/8/11

Y1 - 2017/8/11

N2 - Music is an expressive form of communication often used to convey emotion in scenarios where "words are not enough". Part of this information lies in the musical composition where well-defined language exists. However, a significant amount of information is added during a performance as the musician interprets the composition. The performer injects expressiveness into the written score through variations of different musical properties such as dynamics and tempo. In this paper, we describe a model that can learn to perform sheet music. Our research concludes that the generated performances are indistinguishable from a human performance, thereby passing a test in the spirit of a "musical Turing test".

AB - Music is an expressive form of communication often used to convey emotion in scenarios where "words are not enough". Part of this information lies in the musical composition where well-defined language exists. However, a significant amount of information is added during a performance as the musician interprets the composition. The performer injects expressiveness into the written score through variations of different musical properties such as dynamics and tempo. In this paper, we describe a model that can learn to perform sheet music. Our research concludes that the generated performances are indistinguishable from a human performance, thereby passing a test in the spirit of a "musical Turing test".

KW - cs.SD

KW - cs.NE

M3 - Article (Academic Journal)

JO - arXiv

JF - arXiv

ER -