Norihiro Takamune

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 61

Top Topics

Gaussian Distribution

Source Separation

Negative Matrix Factorization

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

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 (2024)
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 (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)
Yota Ueda, Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Hiroshi Saruwatari
HumanDiffusion: diffusion model using perceptual gradients. CoRR (2023)
Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. CoRR (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)
Yota Ueda, Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Hiroshi Saruwatari
HumanDiffusion: diffusion model using perceptual gradients. INTERSPEECH (2023)
Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. EUSIPCO (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)
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)
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)
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)
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 (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)
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)
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)
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)
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)
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)
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 (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)
Masashi Aso, Shinnosuke Takamichi, Norihiro Takamune, Hiroshi Saruwatari
Subword tokenization based on DNN-based acoustic model for end-to-end prosody generation. SSW (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)
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)
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) (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)
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)
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari
Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics. ICASSP (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)
Naoki Murata, Shoichi Koyama, Hirokazu Kameoka, Norihiro Takamune, Hiroshi Saruwatari
Sparse sound field decomposition with multichannel extension of complex NMF. ICASSP (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)
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari
Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction. CAMSAP (2015)
Norihiro Takamune, Hirokazu Kameoka
Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach. MLSP (2014)
Hirokazu Kameoka, Norihiro Takamune
Training Restricted Boltzmann Machines with auxiliary function approach. MLSP (2014)
Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura, Hirokazu Kameoka
Underdetermined blind separation and tracking of moving sources based ONDOA-HMM. ICASSP (2014)
Tomohiko Nakamura, Kotaro Shikata, Norihiro Takamune, Hirokazu Kameoka
Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation. ISMIR (2014)