SlideShare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.
SlideShare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.
Successfully reported this slideshow.
Activate your 14 day free trial to unlock unlimited reading.
Music signal separation using supervised nonnegative matrix factorization with orthogonality and maximum-divergence penalties (in Japanese)
Music signal separation using supervised nonnegative matrix factorization with orthogonality and maximum-divergence penalties (in Japanese)
1.
Music Signal Separation Using Supervised
Nonnegative Matrix Factorization with Orthogonality
and Maximum-divergence Penalties
直交化及び距離最大化則条件を用いた
教師あり非負値行列因子分解による音楽信号分離
北村大地, 猿渡洋, 八木浩介, 鹿野清宏
(奈良先端科学技術大学院大学)
高橋祐, 近藤多伸
(ヤマハ株式会社)