Daichi Kitamura

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 84

Top Topics

Independent Component Analysis

Gaussian Distribution

Source Separation

Covariance Matrix

Top Venues

Publications

Shoma Ayano, Li Li, Shogo Seki, Daichi Kitamura
Audio Spotforming Using Nonnegative Tensor Factorization with Attractor-Based Regularization. CoRR (2024)
Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction. EUSIPCO (2023)
Sota Misawa, Norihiro Takamune, Kohei Yatabe, Daichi Kitamura, Hiroshi Saruwatari
Blind Source Separation Using Independent Low-Rank Matrix Analysis with Spectrogram-Consistency Regularization. APSIPA ASC (2023)
Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction. CoRR (2023)
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Music Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Yuta Iwase, Daichi Kitamura
Supervised Audio Source Separation Based on Nonnegative Matrix Factorization with Cosine Similarity Penalty. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (6) (2022)
Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction. EURASIP J. Adv. Signal Process. 2022 (1) (2022)
Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. ICASSP (2022)
Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. CoRR (2022)
Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. APSIPA ASC (2021)
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. CoRR (2021)
Kohei Yatabe, Daichi Kitamura
Determined BSS Based on Time-Frequency Masking and Its Application to Harmonic Vector Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takarnune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. APSIPA ASC (2021)
Naoki Makishima, Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Independent deeply learned matrix analysis with automatic selection of stable microphone-wise update and fast sourcewise update of demixing matrix. Signal Process. 178 (2021)
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. CoRR (2021)
Keigo Kamo, Yoshiki Mitsui, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Joint-diagonalizability-constrained multichannel nonnegative matrix factorization based on time-variant multivariate complex sub-Gaussian distribution. Signal Process. 188 (2021)
Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. CoRR (2021)
Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction. CoRR (2021)
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. APSIPA ASC (2021)
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. EUSIPCO (2021)
Akihito Aiba, Minoru Yoshida, Daichi Kitamura, Shinnosuke Takamichi, Hiroshi Saruwatari
Noise Robust Acoustic Anomaly Detection System with Nonnegative Matrix Factorization Based on Generalized Gaussian Distribution. IEICE Trans. Inf. Syst. (3) (2021)
Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. EUSIPCO (2021)
Soichiro Oyabu, Daichi Kitamura, Kohei Yatabe
Linear Multichannel Blind Source Separation based on Time-Frequency Mask Obtained by Harmonic/Percussive Sound Separation. ICASSP (2021)
Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction. ICASSP (2021)
Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. CoRR (2021)
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. CoRR (2021)
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-based Prior Distribution of Joint-Diagonalization Process. CoRR (2020)
Daichi Kitamura, Kohei Yatabe
Consistent Independent Low-Rank Matrix Analysis for Determined Blind Source Separation. CoRR (2020)
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Shuhei Yamaji, Daichi Kitamura
DNN-Based Permutation Solver for Frequency-Domain Independent Component Analysis in Two-Source Mixture Case. APSIPA (2020)
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani
Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution. CoRR (2020)
Yuki Mitsufuji, Stefan Uhlich, Norihiro Takamune, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari
Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-Based Prior Distribution of Joint-Diagonalization Process. ICASSP (2020)
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution. CoRR (2020)
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Student's t-distribution. APSIPA (2020)
Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks. Signal Process. 169 (2020)
Rui Watanabe, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
DNN-Based Frequency Component Prediction for Frequency-Domain Audio Source Separation. EUSIPCO (2020)
Kohei Yatabe, Daichi Kitamura
Determined BSS based on time-frequency masking and its application to harmonic vector analysis. CoRR (2020)
Daichi Kitamura, Kohei Yatabe
Consistent independent low-rank matrix analysis for determined blind source separation. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani
Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution. ICASSP (2020)
Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Nobutaka Ono
Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model for Determined Blind Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution. EUSIPCO (2020)
Naoki Makishima, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
Robust Demixing Filter Update Algorithm Based on Microphone-wise Coordinate Descent for Independent Deeply Learned Matrix Analysis. APSIPA (2019)
Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono
Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 26 (6) (2019)
Shinichi Mogami, Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Hiroaki Nakajima, Hirokazu Kameoka
Independent Low-Rank Matrix Analysis Based on Generalized Kullback-Leibler Divergence. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2) (2019)
Kohei Yatabe, Daichi Kitamura
Time-frequency-masking-based Determined BSS with Application to Sparse IVA. ICASSP (2019)
Daichi Kitamura, Naoki Honma, Kazushi Naruke, Atsushi Miura, Yusuke Sugawara
RSSI-ranging method using pattern diversity and distance-based reliability function. IPIN (Short Papers/Work-in-Progress Papers) (2019)
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. CoRR (2019)
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation. EUSIPCO (2019)
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. APSIPA (2019)
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation. CoRR (2019)
Masakazu Une, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Shoji Makino
Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation. APSIPA (2019)
Naoki Makishima, Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hayato Sumino, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono
Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 27 (10) (2019)
Kohei Yatabe, Daichi Kitamura
Determined Blind Source Separation via Proximal Splitting Algorithm. ICASSP (2018)
Masakazu Une, Yuki Saito, Shinnosuke Takamichi, Daichi Kitamura, Ryoichi Miyazaki, Hiroshi Saruwatari
Generative approach using the noise generation models for DNN-based speech synthesis trained from noisy speech. APSIPA (2018)
Daichi Kitamura, Shinichi Mogami, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono, Yu Takahashi, Kazunobu Kondo
Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation. EURASIP J. Adv. Signal Process. 2018 (2018)
Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Vectorwise Coordinate Descent Algorithm for Spatially Regularized Independent Low-Rank Matrix Analysis. ICASSP (2018)
Shinichi Mogami, Hayato Sumino, Daichi Kitamura, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation. EUSIPCO (2018)
Shinichi Mogami, Hayato Sumino, Daichi Kitamura, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation. CoRR (2018)
Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network. CoRR (2018)
Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network. IWAENC (2018)
Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Hiroaki Nakajima, Nobutaka Ono
Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model. APSIPA (2018)
Antoine Liutkus, Fabian-Robert Stöter, Zafar Rafii, Daichi Kitamura, Bertrand Rivet, Nobutaka Ito, Nobutaka Ono, Julie Fontecave
The 2016 Signal Separation Evaluation Campaign. LVA/ICA (2017)
Daichi Kitamura, Nobutaka Ono, Hiroshi Saruwatari
Experimental analysis of optimal window length for independent low-rank matrix analysis. EUSIPCO (2017)
Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Independent Low-Rank Matrix Analysis Based on Parametric Majorization-Equalization Algorithm. CoRR (2017)
Shinichi Mogami, Daichi Kitamura, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono
Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation. MLSP (2017)
Shinichi Mogami, Daichi Kitamura, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono
Independent Low-Rank Matrix Analysis Based on Complex Student's t-Distribution for Blind Audio Source Separation. CoRR (2017)
Narumi Mae, Yoshiki Mitsui, Shoji Makino, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada, Hiroshi Saruwatari
Sound source localization using binaural difference for hose-shaped rescue robot. APSIPA (2017)
Yoshiaki Bando, Hiroshi Saruwatari, Nobutaka Ono, Shoji Makino, Katsutoshi Itoyama, Daichi Kitamura, Masaru Ishimura, Moe Takakusaki, Narumi Mae, Kouei Yamaoka, Yutaro Matsui, Yuichi Ambe, Masashi Konyo, Satoshi Tadokoro, Kazuyoshi Yoshii, Hiroshi G. Okuno
Low Latency and High Quality Two-Stage Human-Voice-Enhancement System for a Hose-Shaped Rescue Robot. J. Robotics Mechatronics 29 (1) (2017)
Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Independent low-rank matrix analysis based on parametric majorization-equalization algorithm. CAMSAP (2017)
Narumi Mae, Masaru Ishimura, Shoji Makino, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada, Hiroshi Saruwatari
Ego Noise Reduction for Hose-Shaped Rescue Robot Combining Independent Low-Rank Matrix Analysis and Multichannel Noise Cancellation. LVA/ICA (2017)
Yoshiki Mitsui, Daichi Kitamura, Shinnosuke Takamichi, Nobutaka Ono, Hiroshi Saruwatari
Blind source separation based on independent low-rank matrix analysis with sparse regularization for time-series activity. ICASSP (2017)
Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari
Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 24 (9) (2016)
Narumi Mae, Daichi Kitamura, Masaru Ishimura, Takeshi Yamada, Shoji Makino
Ego noise reduction for hose-shaped rescue robot combining independent low-rank matrix analysis and noise cancellation. APSIPA (2016)
Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation. APSIPA (2016)
Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari, Nobutaka Ono, Yu Takahashi, Kazunobu Kondo
Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation. EUSIPCO (2016)
Daichi Kitamura, Nobutaka Ono, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
Discriminative and reconstructive basis training for audio source separation with semi-supervised nonnegative matrix factorization. IWAENC (2016)
Moe Takakusaki, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada, Shoji Makino, Hiroshi Saruwatari
Ego-noise reduction for a hose-shaped rescue robot using determined rank-1 multichannel nonnegative matrix factorization. IWAENC (2016)
Daichi Kitamura, Nobutaka Ono
Efficient initialization for nonnegative matrix factorization based on nonnegative independent component analysis. IWAENC (2016)
Daichi Kitamura, Hiroshi Saruwatari, Hirokazu Kameoka, Yu Takahashi, Kazunobu Kondo, Satoshi Nakamura
Multichannel Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization with Spectrogram Restoration. IEEE ACM Trans. Audio Speech Lang. Process. 23 (4) (2015)
Yuki Murota, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari, Satoshi Nakamura
Statistical modeling of binaural signal and its application to binaural source separation. ICASSP (2015)
Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari
Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model. ICASSP (2015)
Nobutaka Ono, Zafar Rafii, Daichi Kitamura, Nobutaka Ito, Antoine Liutkus
The 2015 Signal Separation Evaluation Campaign. LVA/ICA (2015)
Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari
Relaxation of rank-1 spatial constraint in overdetermined blind source separation. EUSIPCO (2015)
Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo, Hirokazu Kameoka
Divergence optimization in nonnegative matrix factorization with spectrogram restoration for multichannel signal separation. HSCMA (2014)
Yuki Murota, Daichi Kitamura, Shunsuke Nakai, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo
Music signal separation based on Bayesian spectral amplitude estimator with automatic target prior adaptation. ICASSP (2014)
Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo, Hirokazu Kameoka
Hybrid multichannel signal separation using supervised nonnegative matrix factorization with spectrogram restoration. APSIPA (2014)
Daichi Kitamura, Hiroshi Saruwatari, Kosuke Yagi, Kiyohiro Shikano, Yu Takahashi, Kazunobu Kondo
Music Signal Separation Based on Supervised Nonnegative Matrix Factorization with Orthogonality and Maximum-Divergence Penalties. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (5) (2014)
Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, Yu Takahashi
Music signal separation by supervised nonnegative matrix factorization with basis deformation. DSP (2013)
Daichi Kitamura, Hiroshi Saruwatari, Kosuke Yagi, Kiyohiro Shikano, Yu Takahashi, Kazunobu Kondo
Robust music signal separation based on supervised nonnegative matrix factorization with prevention of basis sharing. ISSPIT (2013)
Daichi Kitamura, Hiroshi Saruwatari, Yusuke Iwao, Kiyohiro Shikano, Kazunobu Kondo, Yu Takahashi
Superresolution-based stereo signal separation via supervised nonnegative matrix factorization. DSP (2013)