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ORCIDNorihiro Takamune
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2020 – today
- 2024
[c34]Yuto Ishikawa, Kohei Konaka, Tomohiko Nakamura
, Norihiro Takamune, Hiroshi Saruwatari:
Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation. ICASSP Workshops 2024: 730-734- [i19]Yuto Ishikawa, Kohei Konaka, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari:
Real-time Speech Extraction Using Spatially Regularized Independent Low-rank Matrix Analysis and Rank-constrained Spatial Covariance Matrix Estimation. CoRR abs/2403.12477 (2024) - [i18]Kentaro Seki, Shinnosuke Takamichi, Norihiro Takamune, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari:
Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals. CoRR abs/2406.17722 (2024) - 2023
- [j15]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) - [c33]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 - [c32]Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari:
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. EUSIPCO 2023: 326-330 - [c31]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 - [c30]Yota Ueda, Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Hiroshi Saruwatari:
HumanDiffusion: diffusion model using perceptual gradients. INTERSPEECH 2023: 4264-4268 - [i17]Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari:
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. CoRR abs/2306.10718 (2023) - [i16]Yota Ueda, Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Hiroshi Saruwatari:
HumanDiffusion: diffusion model using perceptual gradients. CoRR abs/2306.12169 (2023) - [i15]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
- [j14]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) - 2021
- [j13]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) - [j12]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) - [j11]Yuki Mitsufuji, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari:
Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain. IEEE ACM Trans. Audio Speech Lang. Process. 29: 607-617 (2021) - [c29]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 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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
- [j10]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) - [j9]Masashi Aso, Shinnosuke Takamichi, Norihiro Takamune, Hiroshi Saruwatari:
Acoustic model-based subword tokenization and prosodic-context extraction without language knowledge for text-to-speech synthesis. Speech Commun. 125: 53-60 (2020) - [j8]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) - [j7]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) - [j6]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) - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [i9]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) - [i8]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) - [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
- [j5]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) - [j4]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) - [j3]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) - [c20]Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. APSIPA 2019: 332-338 - [c19]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 - [c18]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 - [c17]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 - [c16]Masashi Aso, Shinnosuke Takamichi, Norihiro Takamune, Hiroshi Saruwatari:
Subword tokenization based on DNN-based acoustic model for end-to-end prosody generation. SSW 2019: 234-238 - [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
- [j2]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) - [j1]Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari:
Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition. IEEE Trans. Signal Process. 66(12): 3327-3338 (2018) - [c15]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 - [c14]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 - [c13]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 - [c12]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
- [c11]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 - [c10]Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari:
Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics. ICASSP 2017: 441-445 - [c9]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
- [c8]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 - [c7]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 - [c6]Naoki Murata, Shoichi Koyama, Hirokazu Kameoka, Norihiro Takamune, Hiroshi Saruwatari:
Sparse sound field decomposition with multichannel extension of complex NMF. ICASSP 2016: 345-349 - 2015
- [c5]Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari:
Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction. CAMSAP 2015: 69-72 - 2014
- [c4]Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura, Hirokazu Kameoka:
Underdetermined blind separation and tracking of moving sources based ONDOA-HMM. ICASSP 2014: 3191-3195 - [c3]Tomohiko Nakamura, Kotaro Shikata, Norihiro Takamune, Hirokazu Kameoka:
Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation. ISMIR 2014: 623-628 - [c2]Hirokazu Kameoka, Norihiro Takamune:
Training Restricted Boltzmann Machines with auxiliary function approach. MLSP 2014: 1-6 - [c1]Norihiro Takamune, Hirokazu Kameoka:
Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach. MLSP 2014: 1-6
Coauthor Index
[c34] [i19] [i18] [j15] [c33] [c32] [c31] [c30] [i17] [i16] [i15] [j14] [j13] [j12] [j11] [c29] [c28] [c27] [c26] [c25] [i14] [i13] [i12] [i11] [i10] [j10] [j9] [j8] [j7] [j6] [c24] [c23] [c22] [c21] [i9] [i8] [i7] [j5] [j4] [j3] [c20] [c19] [c18] [c17] [c16] [i6] [i5] [j2] [j1] [c15] [c14] [c13] [c12] [i4] [i3] [c11] [c10] [c9] [i2] [i1] [c8] [c7] [c6] [c5]
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