1) The document discusses a semi-supervised nonnegative matrix factorization method with a cosine penalty condition for audio source separation.
2) It proposes adding a cosine similarity penalty term to penalize similarity between basis matrices, to improve on existing penalized SNMF methods.
3) Experiments show the proposed method achieves higher source separation performance compared to existing methods, measured by average and median SDR values, but the optimal weight coefficient values are peaky.
北村大地, 小野順貴, "独立性基準を用いた非負値行列因子分解の効果的な初期値決定法," 日本音響学会 2016年春季研究発表会, 3-3-5, pp. 619-622, Kanagawa, March 2016.
Daichi Kitamura, Nobutaka Ono, "Statistical-independence-based effective initialization for nonnegative matrix factorization," Proceedings of 2016 Spring Meeting of Acoustical Society of Japan, 3-3-5, pp. 619-622, Kanagawa, March 2016 (in Japanese).
非負値行列分解の確率的生成モデルと多チャネル音源分離への応用 (Generative model in nonnegative matrix facto...Daichi Kitamura
北村大地, "非負値行列分解の確率的生成モデルと多チャネル音源分離への応用," 慶應義塾大学理工学部電子工学科湯川研究室 招待講演, Kanagawa, November, 2015.
Daichi Kitamura, "Generative model in nonnegative matrix factorization and its application to multichannel sound source separation," Keio University, Science and Technology, Department of Electronics and Electrical Engineeing, Yukawa Laboratory, Invited Talk, Kanagawa, November, 2015.
独立性に基づくブラインド音源分離の発展と独立低ランク行列分析 History of independence-based blind source sep...Daichi Kitamura
東京大学 システム情報学専攻 談話会
2017年2月27日(月)15時~16時30分
北村大地, "独立性に基づくブラインド音源分離の発展と独立低ランク行列分析," 東京大学 システム情報学専攻 談話会, 2月27日, 2017年.
Daichi Kitamura, "History of independence-based blind source separation and independent low-rank matrix analysis," The University of Tokyo, Department of Information Physics and Computing, Seminar, 27th Feb., 2017.
1) The document discusses a semi-supervised nonnegative matrix factorization method with a cosine penalty condition for audio source separation.
2) It proposes adding a cosine similarity penalty term to penalize similarity between basis matrices, to improve on existing penalized SNMF methods.
3) Experiments show the proposed method achieves higher source separation performance compared to existing methods, measured by average and median SDR values, but the optimal weight coefficient values are peaky.
北村大地, 小野順貴, "独立性基準を用いた非負値行列因子分解の効果的な初期値決定法," 日本音響学会 2016年春季研究発表会, 3-3-5, pp. 619-622, Kanagawa, March 2016.
Daichi Kitamura, Nobutaka Ono, "Statistical-independence-based effective initialization for nonnegative matrix factorization," Proceedings of 2016 Spring Meeting of Acoustical Society of Japan, 3-3-5, pp. 619-622, Kanagawa, March 2016 (in Japanese).
非負値行列分解の確率的生成モデルと多チャネル音源分離への応用 (Generative model in nonnegative matrix facto...Daichi Kitamura
北村大地, "非負値行列分解の確率的生成モデルと多チャネル音源分離への応用," 慶應義塾大学理工学部電子工学科湯川研究室 招待講演, Kanagawa, November, 2015.
Daichi Kitamura, "Generative model in nonnegative matrix factorization and its application to multichannel sound source separation," Keio University, Science and Technology, Department of Electronics and Electrical Engineeing, Yukawa Laboratory, Invited Talk, Kanagawa, November, 2015.
独立性に基づくブラインド音源分離の発展と独立低ランク行列分析 History of independence-based blind source sep...Daichi Kitamura
東京大学 システム情報学専攻 談話会
2017年2月27日(月)15時~16時30分
北村大地, "独立性に基づくブラインド音源分離の発展と独立低ランク行列分析," 東京大学 システム情報学専攻 談話会, 2月27日, 2017年.
Daichi Kitamura, "History of independence-based blind source separation and independent low-rank matrix analysis," The University of Tokyo, Department of Information Physics and Computing, Seminar, 27th Feb., 2017.
Effective Optimization Algorithms for Blind and Supervised Music Source Separation with Nonnegative Matrix Factorization
長倉研究奨励賞第三次審査,20分間の研究概要説明
内容は自身の学位論文の一部に相当
音源分離における音響モデリング(Acoustic modeling in audio source separation)Daichi Kitamura
北村大地, "音源分離における音響モデリング," 日本音響学会 サマーセミナー 招待講演, September 11th, 2017.
Daichi Kitamura, "Acoustic modeling in audio source separation," The Acoustical Society of Japan, Summer Seminar Invited Talk, September 11th, 2017.
近接分離最適化によるブラインド⾳源分離(Blind source separation via proximal splitting algorithm)Daichi Kitamura
矢田部浩平, 北村大地, "近接分離最適化によるブラインド⾳源分離," 日本音響学会 2018年春季研究発表会講演論文集, 1-4-10, pp. 431–434, Saitama, March 2018.
Kohei Yatabe, Daichi Kitamura, "Blind source separation via proximal splitting algorithm," Proceedings of 2018 Spring Meeting of Acoustical Society of Japan, 1-4-10, pp. 431–434, Saitama, March 2018 (in Japanese).
統計的独立性と低ランク行列分解理論に基づくブラインド音源分離 –独立低ランク行列分析– Blind source separation based on...Daichi Kitamura
北村大地, "統計的独立性と低ランク行列分解理論に基づくブラインド音源分離 –独立低ランク行列分析–," 筑波大学システム情報工学研究科マルチメディア研究室 招待講演, Ibaraki, September 26th, 2016.
Daichi Kitamura, "Blind source separation based on statistical independence and low-rank matrix decomposition –Independent low-rank matrix analysis–," University of Tsukuba, Graduate School of Systems and Information Engineering, Multimedia Laboratory, Invited Talk, Ibaraki, September 26th, 2016.
ランク1空間近似を用いたBSSにおける音源及び空間モデルの考察 Study on Source and Spatial Models for BSS wi...Daichi Kitamura
Presented at 2015 Autumn Meeting of Acoustical Society of Japan (domestic conference)
北村大地, 猿渡洋, 小野順貴, 澤田宏, 亀岡弘和, "ランク1空間近似を用いたBSSにおける音源及び空間モデルの考察," 日本音響学会 2015年秋季研究発表会, 3-6-10, pp.583-586, Fukushima, September 2015.
Daichi Kitamura, Hiroshi Saruwatari, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, "Study on source and spatial models for BSS with rank-1 spatial approximation," Proceedings of 2015 Autumn Meeting of Acoustical Society of Japan, 3-6-10, pp.583-586, Fukushima, September 2015 (in Japanese).
Effective Optimization Algorithms for Blind and Supervised Music Source Separation with Nonnegative Matrix Factorization
長倉研究奨励賞第三次審査,20分間の研究概要説明
内容は自身の学位論文の一部に相当
音源分離における音響モデリング(Acoustic modeling in audio source separation)Daichi Kitamura
北村大地, "音源分離における音響モデリング," 日本音響学会 サマーセミナー 招待講演, September 11th, 2017.
Daichi Kitamura, "Acoustic modeling in audio source separation," The Acoustical Society of Japan, Summer Seminar Invited Talk, September 11th, 2017.
近接分離最適化によるブラインド⾳源分離(Blind source separation via proximal splitting algorithm)Daichi Kitamura
矢田部浩平, 北村大地, "近接分離最適化によるブラインド⾳源分離," 日本音響学会 2018年春季研究発表会講演論文集, 1-4-10, pp. 431–434, Saitama, March 2018.
Kohei Yatabe, Daichi Kitamura, "Blind source separation via proximal splitting algorithm," Proceedings of 2018 Spring Meeting of Acoustical Society of Japan, 1-4-10, pp. 431–434, Saitama, March 2018 (in Japanese).
統計的独立性と低ランク行列分解理論に基づくブラインド音源分離 –独立低ランク行列分析– Blind source separation based on...Daichi Kitamura
北村大地, "統計的独立性と低ランク行列分解理論に基づくブラインド音源分離 –独立低ランク行列分析–," 筑波大学システム情報工学研究科マルチメディア研究室 招待講演, Ibaraki, September 26th, 2016.
Daichi Kitamura, "Blind source separation based on statistical independence and low-rank matrix decomposition –Independent low-rank matrix analysis–," University of Tsukuba, Graduate School of Systems and Information Engineering, Multimedia Laboratory, Invited Talk, Ibaraki, September 26th, 2016.
ランク1空間近似を用いたBSSにおける音源及び空間モデルの考察 Study on Source and Spatial Models for BSS wi...Daichi Kitamura
Presented at 2015 Autumn Meeting of Acoustical Society of Japan (domestic conference)
北村大地, 猿渡洋, 小野順貴, 澤田宏, 亀岡弘和, "ランク1空間近似を用いたBSSにおける音源及び空間モデルの考察," 日本音響学会 2015年秋季研究発表会, 3-6-10, pp.583-586, Fukushima, September 2015.
Daichi Kitamura, Hiroshi Saruwatari, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, "Study on source and spatial models for BSS with rank-1 spatial approximation," Proceedings of 2015 Autumn Meeting of Acoustical Society of Japan, 3-6-10, pp.583-586, Fukushima, September 2015 (in Japanese).
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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
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)