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2020 – today
- 2024
[c52]Shoma Ayano, Li Li, Shogo Seki, Daichi Kitamura:
Audio Spotforming Using Nonnegative Tensor Factorization with Attractor-Based Regularization. EUSIPCO 2024: 121-125- [i20]Shoma Ayano, Li Li, Shogo Seki, Daichi Kitamura:
Audio Spotforming Using Nonnegative Tensor Factorization with Attractor-Based Regularization. CoRR abs/2407.08951 (2024) - 2023
- [j20]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: 2680-2694 (2023) - [c51]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: 1050-1057 - [c50]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: 925-929 - [i19]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 abs/2306.12820 (2023) - 2022
- [j19]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): 88 (2022) - [j18]Yuta Iwase, Daichi Kitamura:
Supervised Audio Source Separation Based on Nonnegative Matrix Factorization with Cosine Similarity Penalty. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(6): 906-913 (2022) - [c49]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: 941-945 - [i18]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 abs/2202.00200 (2022) - 2021
- [j17]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. 104-D(3): 441-449 (2021) - [j16]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: 107753 (2021) - [j15]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: 108183 (2021) - [j14]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: 1609-1625 (2021) - [c48]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: 578-584 - [c47]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: 651-658 - [c46]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. APSIPA ASC 2021: 1226-1233 - [c45]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: 326-330 - [c44]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: 331-335 - [c43]Soichiro Oyabu, Daichi Kitamura, Kohei Yatabe:
Linear Multichannel Blind Source Separation based on Time-Frequency Mask Obtained by Harmonic/Percussive Sound Separation. ICASSP 2021: 201-205 - [c42]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: 806-810 - [i17]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 abs/2105.02491 (2021) - [i16]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 abs/2106.03492 (2021) - [i15]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 abs/2106.05529 (2021) - [i14]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 abs/2109.00237 (2021) - [i13]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 abs/2109.00704 (2021) - [i12]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 abs/2109.04658 (2021) - 2020
- [j13]Daichi Kitamura, Kohei Yatabe:
Consistent independent low-rank matrix analysis for determined blind source separation. EURASIP J. Adv. Signal Process. 2020(1): 46 (2020) - [j12]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: 107368 (2020) - [j11]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: 49-60 (2020) - [j10]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: 503-518 (2020) - [j9]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: 1948-1963 (2020) - [c41]Shuhei Yamaji, Daichi Kitamura:
DNN-Based Permutation Solver for Frequency-Domain Independent Component Analysis in Two-Source Mixture Case. APSIPA 2020: 781-787 - [c40]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: 869-874 - [c39]Rui Watanabe, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
DNN-Based Frequency Component Prediction for Frequency-Domain Audio Source Separation. EUSIPCO 2020: 805-809 - [c38]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: 890-894 - [c37]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: 606-610 - [c36]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: 681-685 - [i11]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 abs/2002.00579 (2020) - [i10]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 abs/2002.08582 (2020) - [i9]Kohei Yatabe, Daichi Kitamura:
Determined BSS based on time-frequency masking and its application to harmonic vector analysis. CoRR abs/2004.14091 (2020) - [i8]Daichi Kitamura, Kohei Yatabe:
Consistent Independent Low-Rank Matrix Analysis for Determined Blind Source Separation. CoRR abs/2007.00274 (2020) - [i7]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 abs/2007.00416 (2020)
2010 – 2019
- 2019
- [j8]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. 102-A(2): 458-463 (2019) - [j7]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): 818-822 (2019) - [j6]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): 1601-1615 (2019) - [c35]Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. APSIPA 2019: 332-338 - [c34]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: 1868-1873 - [c33]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: 1874-1879 - [c32]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: 1-5 - [c31]Kohei Yatabe, Daichi Kitamura:
Time-frequency-masking-based Determined BSS with Application to Sparse IVA. ICASSP 2019: 715-719 - [c30]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: 103-108 - [i6]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 abs/1906.02482 (2019) - [i5]Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. CoRR abs/1908.01964 (2019) - 2018
- [j5]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: 28 (2018) - [c29]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: 340-344 - [c28]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: 1684-1691 - [c27]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: 1557-1561 - [c26]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: 746-750 - [c25]Kohei Yatabe, Daichi Kitamura:
Determined Blind Source Separation via Proximal Splitting Algorithm. ICASSP 2018: 776-780 - [c24]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: 286-290 - [i4]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 abs/1806.10307 (2018) - [i3]Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network. CoRR abs/1807.03474 (2018) - 2017
- [b1]Daichi Kitamura:
Effective Optimization Algorithms for Blind and Supervised Music Source Separation with Nonnegative Matrix Factorization. Graduate University for Advanced Studies, Japan, 2017 - [j4]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): 198-212 (2017) - [c23]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: 1621-1627 - [c22]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: 1-5 - [c21]Daichi Kitamura, Nobutaka Ono, Hiroshi Saruwatari:
Experimental analysis of optimal window length for independent low-rank matrix analysis. EUSIPCO 2017: 1170-1174 - [c20]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: 141-151 - [c19]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: 323-332 - [c18]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: 21-25 - [c17]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: 1-6 - [i2]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 abs/1708.04795 (2017) - [i1]Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Independent Low-Rank Matrix Analysis Based on Parametric Majorization-Equalization Algorithm. CoRR abs/1710.01589 (2017) - 2016
- [j3]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): 1626-1641 (2016) - [c16]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: 1-6 - [c15]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: 1-7 - [c14]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: 1143-1147 - [c13]Daichi Kitamura, Nobutaka Ono:
Efficient initialization for nonnegative matrix factorization based on nonnegative independent component analysis. IWAENC 2016: 1-5 - [c12]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: 1-5 - [c11]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: 1-4 - 2015
- [j2]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): 654-669 (2015) - [c10]Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari:
Relaxation of rank-1 spatial constraint in overdetermined blind source separation. EUSIPCO 2015: 1261-1265 - [c9]Nobutaka Ono, Zafar Rafii, Daichi Kitamura, Nobutaka Ito, Antoine Liutkus:
The 2015 Signal Separation Evaluation Campaign. LVA/ICA 2015: 387-395 - [c8]Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, Hiroshi Saruwatari:
Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model. ICASSP 2015: 276-280 - [c7]Yuki Murota, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari, Satoshi Nakamura:
Statistical modeling of binaural signal and its application to binaural source separation. ICASSP 2015: 494-498 - 2014
- [j1]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. 97-A(5): 1113-1118 (2014) - [c6]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: 1-10 - [c5]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: 92-96 - [c4]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: 7490-7494 - 2013
- [c3]Daichi Kitamura, Hiroshi Saruwatari, Yusuke Iwao, Kiyohiro Shikano, Kazunobu Kondo, Yu Takahashi:
Superresolution-based stereo signal separation via supervised nonnegative matrix factorization. DSP 2013: 1-6 - [c2]Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, Yu Takahashi:
Music signal separation by supervised nonnegative matrix factorization with basis deformation. DSP 2013: 1-6 - [c1]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: 392-397
Coauthor Index
[j20] [c51] [c50] [i19] [j19] [c49] [i18] [j17] [j16] [j15] [c48] [c47] [c46] [c45] [c44] [c42] [i17] [i16] [i15] [i14] [i13] [i12] [j12] [j11] [j10] [j9] [c40] [c39] [c38] [c37] [c36] [i11] [i10] [i7] [j8] [j7] [j6] [c35] [c34] [c33] [c32] [i6] [i5] [j5] [c29] [c28] [c27] [c26] [c24] [i4] [i3] [j4] [c23] [c22] [c21] [c20] [c18] [c17] [i2] [i1] [j3] [c15] [c14] [c12] [c11] [j2] [c10] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2] [c1]
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the dblp computer science bibliography is funded and supported by:
