ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 1A1-K02
会議情報
1A1-K02 Restricted Boltzmann MachineとConditional RBMを用いたモデルによる音楽生成(進化・学習とロボティクス)
丹羽 孔明成瀬 継太郎大江 亮介木下 正博三田村 保川上 敬
著者情報
会議録・要旨集 フリー

詳細
抄録
In this paper, we develop an associative memorization architecture of the musical features from time sequential data of the music audio signals. This associative memorization architecture is constructed by using of Restricted Boltzmann Machine (RBM) and Conditional RBM (CRBM). Challenging purpose of our research is development of the new composition system that automatically creates a new music based on some existing music. In this composition system, characteristics or common musical features of existing music are learned and extracted, then a new different musical melody having such musical features is created. This paper illustrates the important former part of the whole system.
著者関連情報
© 2014 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top