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).
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)
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).
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).
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)
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.
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.
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).
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).
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.
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.
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
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).
This document proposes a flexible microphone array system using informed source separation methods for a rescue robot. It aims to detect victim speech in disaster areas using multiple microphones on the robot's flexible body. The proposed method uses supervised rank-1 nonnegative matrix factorization (NMF) and statistical signal estimation to address two key problems: ego-noise basis mismatch due to the robot's self-vibrations, and speech model ambiguity. Experiments show the proposed approach outperforms conventional independent vector analysis and single-channel NMF, improving speech detection even with mismatched ego-noise recordings.
Shoichi Koyama, "Source-Location-Informed Sound Field Recording and Reproduction: A Generalization to Arrays of Arbitrary Geometry"
Presented in 2016 AES International Conference on Sound Field Control (July 18-20 2016, Guildford, UK)
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.
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.
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).
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).
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.
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.
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
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).
This document proposes a flexible microphone array system using informed source separation methods for a rescue robot. It aims to detect victim speech in disaster areas using multiple microphones on the robot's flexible body. The proposed method uses supervised rank-1 nonnegative matrix factorization (NMF) and statistical signal estimation to address two key problems: ego-noise basis mismatch due to the robot's self-vibrations, and speech model ambiguity. Experiments show the proposed approach outperforms conventional independent vector analysis and single-channel NMF, improving speech detection even with mismatched ego-noise recordings.
Shoichi Koyama, "Source-Location-Informed Sound Field Recording and Reproduction: A Generalization to Arrays of Arbitrary Geometry"
Presented in 2016 AES International Conference on Sound Field Control (July 18-20 2016, Guildford, UK)
The document describes a proposed hybrid method for multichannel signal separation using supervised nonnegative matrix factorization (SNMF). The method combines directional clustering for spatial separation with SNMF incorporating spectrogram restoration for spectral separation. Experiments show the hybrid method achieves better separation performance than conventional single-channel SNMF or multichannel NMF methods, as measured by signal-to-distortion ratio. The optimal divergence for the SNMF component involves a tradeoff between separation ability and ability to restore missing spectral components.
The document proposes an improved method for audio signal separation using supervised nonnegative matrix factorization (NMF) with time-variant basis deformation. The key contributions are:
1. Classifying supervised bases into time-variant attack and sustain parts and applying different all-pole model-based deformations to each.
2. Introducing discriminative training to avoid overfitting the interference signal and better separate the target.
3. An iterative approximated algorithm is presented that searches for deformation matrices representing the target signal while being constrained to also fit the mixture signal.
4. Experimental results on instrument mixtures show the proposed method achieves better signal-to-distortion ratio performance than previous supervised NMF techniques.
This document summarizes a research talk on statistical-model-based speech enhancement techniques that aim to reduce noise without generating musical noise artifacts. The talk outlines conventional enhancement methods like spectral subtraction and Wiener filtering that often cause musical noise. It then proposes a biased minimum mean-square error estimator that can achieve a musical-noise-free state by introducing a bias parameter. Analysis and experiments show this method can reduce noise while keeping the kurtosis ratio fixed at 1.0 to prevent musical noise, outperforming other techniques in terms of speech quality. A strong speech prior model is found to limit achieving musical-noise-free states, so the prior must be carefully selected.
Shoichi Koyama, Naoki Murata, and Hiroshi Saruwatari. "Super-resolution in sound field recording and reproduction based on sparse representation"
presented at 5th Joint Meeting Acoustical Society of America and Acoustical Society of Japan (28 Nov. - 2 Dec. 2016, Honolulu, USA)
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.
22. • データセット(SiSEC2011,プロ音楽信号)
• 4-fold cross-validationを行う
SiSEC2011の楽曲の実験: 条件
22
楽曲名
混合される
目的音源
混合される
非目的音源
非目的音の候補信号
(楽曲名 / 音源)
roads
Acoustic guitar Drums The ones we love / Drums
Drums Acoustic guitar The ones we love / Acoustic guitar
Que pena
tanto faz
Classic guitar Female vocals Remember the name / Male vocals
Female vocals Classic guitar Ultimate NZ tour / Electric guitar
Ultimate
NZ tour
Electric guitar Synthesizer Remember the name / Synthetic violins
Synthesizer Electric guitar Roads / Acoustic guitar
音源1
音源2
( がテスト区間の例)
別の楽曲