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.
Efficient multichannel nonnegative matrix factorization with rank-1 spatial m...Daichi Kitamura
Presented at 2014 Autumn Meeting of Acoustical Society of Japan (domestic conference)
Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari, "Efficient multichannel nonnegative matrix factorization with rank-1 spatial model," Proceedings of 2014 Autumn Meeting of Acoustical Society of Japan, 2-1-11, pp.579-582, Hokkaido, September 2014 (in Japanese, 粟屋 潔学術奨励賞受賞)
Divergence optimization based on trade-off between separation and extrapolati...Daichi Kitamura
Presented at 2013 Autumn Meeting of Acoustical Society of Japan (domestic conference)
Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Kazunobu Kondo, Yu Takahashi, "Divergence optimization based on trade-off between separation and extrapolation abilities in superresolution-based nonnegative matrix factorization," Proceedings of 2013 Autumn Meeting of Acoustical Society of Japan, 1-1-6, pp.583-586, Aichi, September 2013 (学生優秀発表賞受賞).
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.
Efficient multichannel nonnegative matrix factorization with rank-1 spatial m...Daichi Kitamura
Presented at 2014 Autumn Meeting of Acoustical Society of Japan (domestic conference)
Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari, "Efficient multichannel nonnegative matrix factorization with rank-1 spatial model," Proceedings of 2014 Autumn Meeting of Acoustical Society of Japan, 2-1-11, pp.579-582, Hokkaido, September 2014 (in Japanese, 粟屋 潔学術奨励賞受賞)
Divergence optimization based on trade-off between separation and extrapolati...Daichi Kitamura
Presented at 2013 Autumn Meeting of Acoustical Society of Japan (domestic conference)
Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Kazunobu Kondo, Yu Takahashi, "Divergence optimization based on trade-off between separation and extrapolation abilities in superresolution-based nonnegative matrix factorization," Proceedings of 2013 Autumn Meeting of Acoustical Society of Japan, 1-1-6, pp.583-586, Aichi, September 2013 (学生優秀発表賞受賞).
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).
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.
過決定条件BSSにおけるランク1空間制約の緩和 Relaxation of rank-1 spatial model in overdetermined...Daichi Kitamura
Presented at 2015 Spring Meeting of Acoustical Society of Japan (domestic conference)
北村大地, 小野順貴, 澤田宏, 亀岡弘和, 猿渡洋, "過決定条件BSS におけるランク1 空間制約の緩和," 日本音響学会 2015年春季研究発表会, 3-10-11, pp.629-632, Tokyo, March 2015.
Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari, "Relaxation of rank-1 spatial model in overdetermined BSS," Proceedings of 2015 Spring Meeting of Acoustical Society of Japan, 3-10-11, Tokyo, March 2015 (in Japanese).
Evaluation of separation accuracy for various real instruments based on super...Daichi Kitamura
Presented at 2013 Spring Meeting of Acoustical Society of Japan (domestic conference)
Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, Yu Takahashi, "Evaluation of separation accuracy for various real instruments based on supervised NMF with basis deformation," Proceedings of 2013 Spring Meeting of Acoustical Society of Japan, 3-1-11, pp.1057-1060, Tokyo, March 2013.
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).
Optimal divergence diversity for superresolution-based nonnegative matrix fac...Daichi Kitamura
Presented at 2014 Spring Meeting of Acoustical Society of Japan (domestic comference)
Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Kazunobu Kondo, Yu Takahashi, Hirokazu Kameoka, "Optimal divergence diversity for superresolution-based nonnegative matrix factorization," Proceedings of 2014 Spring Meeting of Acoustical Society of Japan, 3-2-9, pp.727-730, Tokyo, March 2014.
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
独立低ランク行列分析に基づく音源分離とその発展(Audio source separation based on independent low-rank...Daichi Kitamura
北村大地, "独立低ランク行列分析に基づく音源分離とその発展," IEICE信号処理研究会, 2021年8月24日.
Daichi Kitamura, "Audio source separation based on independent low-rank matrix analysis and its extensions," IEICE Technical Group on Signal Processing, Aug. 24th, 2021.
http://d-kitamura.net
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.
日本音響学会2021春季研究発表会1-1-2
北村大地, 矢田部浩平, "スペクトログラム無矛盾性を用いた独立低ランク行列分析の実験的評価," 日本音響学会 2021年春季研究発表会講演論文集, 1-1-2, pp. 121–124, Tokyo, March 2021.
Daichi Kitamura and Kohei Yatabe, "Experimental evaluation of consistent independent low-rank matrix analysis," Proceedings of 2021 Spring Meeting of Acoustical Society of Japan, 1-1-2, pp. 121–124, Tokyo, March 2021 (in Japanese).
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.
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).
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.
過決定条件BSSにおけるランク1空間制約の緩和 Relaxation of rank-1 spatial model in overdetermined...Daichi Kitamura
Presented at 2015 Spring Meeting of Acoustical Society of Japan (domestic conference)
北村大地, 小野順貴, 澤田宏, 亀岡弘和, 猿渡洋, "過決定条件BSS におけるランク1 空間制約の緩和," 日本音響学会 2015年春季研究発表会, 3-10-11, pp.629-632, Tokyo, March 2015.
Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari, "Relaxation of rank-1 spatial model in overdetermined BSS," Proceedings of 2015 Spring Meeting of Acoustical Society of Japan, 3-10-11, Tokyo, March 2015 (in Japanese).
Evaluation of separation accuracy for various real instruments based on super...Daichi Kitamura
Presented at 2013 Spring Meeting of Acoustical Society of Japan (domestic conference)
Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, Yu Takahashi, "Evaluation of separation accuracy for various real instruments based on supervised NMF with basis deformation," Proceedings of 2013 Spring Meeting of Acoustical Society of Japan, 3-1-11, pp.1057-1060, Tokyo, March 2013.
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).
Optimal divergence diversity for superresolution-based nonnegative matrix fac...Daichi Kitamura
Presented at 2014 Spring Meeting of Acoustical Society of Japan (domestic comference)
Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Kazunobu Kondo, Yu Takahashi, Hirokazu Kameoka, "Optimal divergence diversity for superresolution-based nonnegative matrix factorization," Proceedings of 2014 Spring Meeting of Acoustical Society of Japan, 3-2-9, pp.727-730, Tokyo, March 2014.
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
独立低ランク行列分析に基づく音源分離とその発展(Audio source separation based on independent low-rank...Daichi Kitamura
北村大地, "独立低ランク行列分析に基づく音源分離とその発展," IEICE信号処理研究会, 2021年8月24日.
Daichi Kitamura, "Audio source separation based on independent low-rank matrix analysis and its extensions," IEICE Technical Group on Signal Processing, Aug. 24th, 2021.
http://d-kitamura.net
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.
日本音響学会2021春季研究発表会1-1-2
北村大地, 矢田部浩平, "スペクトログラム無矛盾性を用いた独立低ランク行列分析の実験的評価," 日本音響学会 2021年春季研究発表会講演論文集, 1-1-2, pp. 121–124, Tokyo, March 2021.
Daichi Kitamura and Kohei Yatabe, "Experimental evaluation of consistent independent low-rank matrix analysis," Proceedings of 2021 Spring Meeting of Acoustical Society of Japan, 1-1-2, pp. 121–124, Tokyo, March 2021 (in Japanese).
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.
Blind Source Separation using Dictionary LearningDavide Nardone
The sparse decomposition of images and signals found great use in the field of: Compression, Noise removal and also in the Sources separation. This implies the decomposition of signals in the form of linear combinations with some elements of a redundant dictionary. The dictionary may be either a fixed dictionary (Fourier, Wavelet, etc) or may be learned from a set of samples. The algorithms based on learning the dictionary can be applied to a broad class of signals and have a better compression performance than methods based on fixed dictionary. Here we present a Compressed Sensing (CS) approach with an adaptive dictionary for solving a Determined Blind Source Separation (DBSS). The proposed method has been developed by reformulating a DBSS as Sparse Coding (SC) problem. The algorithm consist of few steps: Mixing matrix estimation, Sparse source separation and Source reconstruction. A sparse mixture of the original source signals has been used for the estimating the mixing matrix which have been used for the reconstruction of the of the source signals. A 'block signal representation' is used for representing the mixture in order to greatly improve the computation efficiency of the 'mixing matrix estimation' and the 'signal recovery' processes without particularly lose separation accuracy. Some experimental results are provided to compare the computation and separation performance of the method by varying the type of the dictionary used, be it fixed or an adaptive one. Finally a real case of study in the field of the Wireless Sensor Network (WSN) is illustrated in which a set of sensor nodes relay data to a multi-receiver node. Since more nodes transmits messages simultaneously it's necessary to separate the mixture of information at the receiver, thus solving a BSS problem.
第116回音楽情報科学研究会
MMアルゴリズムの説明を追加しました.
English title: Nonnegative Matrix Factorization Based on Complex Laplace Distribution
Authors: H. Tanji, T. Murakami, H. Kamata
Institution: Meiji University
Presented in IPSJ Music and Computer 116th Domestic Workshop, Aug. 2017.
Detail of MM algorithm for Laplace-NMF is added to the presented slide.