Melody completion based on convolutional neural networks and generative adversarial learning

Kosuke Nakamura, Takashi Nose, Yuya Chiba, Akinori Ito

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we deal with melody completion, a technique which smoothly completes melodies that are partially masked. Melody completion can be used to help people compose or arrange pieces of music in several ways, such as editing existing melodies or connecting two other melodies. In recent years, various methods have been proposed for realizing high-quality completion via neural networks. Therefore, in this research, we examine a method of melody completion based on an image completion network. We represent melodies of a certain length as images and train a completion network to complete those images. The completion network consists of convolution layers and is trained in the framework of generative adversarial networks. We also consider chord progression from musical pieces as conditions.

本文言語English
ホスト出版物のタイトルRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
編集者Lakhmi C. Jain, Lakhmi C. Jain, Pei-Wei Tsai, Akinori Ito, Jeng-Shyang Pan, Lakhmi C. Jain
出版社Springer Science and Business Media Deutschland GmbH
ページ116-123
ページ数8
ISBN(印刷版)9783030037475
DOI
出版ステータスPublished - 2019 1 1
イベント14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
継続期間: 2018 11 262018 11 28

出版物シリーズ

名前Smart Innovation, Systems and Technologies
110
ISSN(印刷版)2190-3018
ISSN(電子版)2190-3026

Other

Other14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
国/地域Japan
CitySendai
Period18/11/2618/11/28

ASJC Scopus subject areas

  • 決定科学(全般)
  • コンピュータ サイエンス(全般)

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