Norihiro Takamune

80 papers A 2Misc 7Journal 37Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
Stride conversion algorithms for convolutional layers and its application to sampling-frequency-independent deep neural networks.
Signal Process.
Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2025 — conf
Auxiliary-Function-Based Decentralized Independent Vector Analysis for Distributed Microphone Arrays.
APSIPA
Kouei Yamaoka, Katsuhiro Morita, Norihiro Takamune, Hiroshi Saruwatari
2025 — conf
Demixing Filter Estimation for Bleeding-Sound Reduction of a Vocal Microphone.
APSIPA
Soushi Taninomiya, Daichi Kitamura, Norihiro Takamune, Kouei Yamaoka, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Hayato Yamakawa
2025 — conf
Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network.
EUSIPCO
Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2025 J jnl
Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network.
CoRR
Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2025 J jnl
Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis With Fast Demixing Matrix Estimation.
IEEE Access
Yuto Ishikawa, Tomohiko Nakamura, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2025 — conf
Theoretical Formulation of Online Independent Vector Analysis Using Framewise Probabilistic Generative Model.
EUSIPCO
Yuto Ishikawa, Norihiro Takamune, Kouei Yamaoka, Hiroshi Saruwatari
2024 — conf
Auxiliary-Function-Based Steering Vector Estimation Method for Spatially Regularized Independent Low-Rank Matrix Analysis.
APSIPA
Sota Hirata, Norihiro Takamune, Kouei Yamaoka, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2024 — conf
Beamforming informed independent low-rank matrix analysis for sound source enhancement in unmanned aerial vehicles.
APSIPA
Jin Xuan Teh, Norihiro Takamune, Hiroshi Saruwatari, Benjamin Yen, Michael Kingan, Yusuke Hioka
2024 — conf
Design of Spectrogram-Consistency Regularization Term Dependent on Observation in Independent Low-Rank Matrix Analysis for Blind Source Separation.
APSIPA
Takaaki Kojima, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2024 — conf
Real-Time Noise Estimation for Lombard-Effect Speech Synthesis in Human-Avatar Dialogue Systems.
APSIPA
Yuto Ishikawa, Osamu Take, Tomohiko Nakamura, Norihiro Takamune, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
2024 — conf
Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation.
ICASSP Workshops
Yuto Ishikawa, Kohei Konaka, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari
2024 J jnl
Real-time Speech Extraction Using Spatially Regularized Independent Low-rank Matrix Analysis and Rank-constrained Spatial Covariance Matrix Estimation.
CoRR
Yuto Ishikawa, Kohei Konaka, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari
2024 A conf
Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals.
INTERSPEECH
Kentaro Seki, Shinnosuke Takamichi, Norihiro Takamune, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari
2024 J jnl
Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals.
CoRR
Kentaro Seki, Shinnosuke Takamichi, Norihiro Takamune, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari
2023 — conf
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides.
EUSIPCO
Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2023 J jnl
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides.
CoRR
Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2023 — conf
Blind Source Separation Using Independent Low-Rank Matrix Analysis with Spectrogram-Consistency Regularization.
APSIPA ASC
Sota Misawa, Norihiro Takamune, Kohei Yatabe, Daichi Kitamura, Hiroshi Saruwatari
2023 A conf
HumanDiffusion: diffusion model using perceptual gradients.
INTERSPEECH
Yota Ueda, Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Hiroshi Saruwatari
2023 J jnl
HumanDiffusion: diffusion model using perceptual gradients.
CoRR
Yota Ueda, Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Hiroshi Saruwatari
2023 — conf
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction.
EUSIPCO
Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani
2023 J jnl
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction.
CoRR
Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, Tomohiro Nakatani
2023 J jnl
PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Music Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process.
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2022 J jnl
Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction.
EURASIP J. Adv. Signal Process.
Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2021 Misc conf
Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction.
ICASSP
Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2021 J jnl
Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction.
CoRR
Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2021 — conf
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation.
EUSIPCO
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021 J jnl
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation.
CoRR
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021 — conf
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation.
EUSIPCO
Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
2021 J jnl
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation.
CoRR
Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
2021 J jnl
Independent deeply learned matrix analysis with automatic selection of stable microphone-wise update and fast sourcewise update of demixing matrix.
Signal Process.
Naoki Makishima, Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2021 J jnl
Joint-diagonalizability-constrained multichannel nonnegative matrix factorization based on time-variant multivariate complex sub-Gaussian distribution.
Signal Process.
Keigo Kamo, Yoshiki Mitsui, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2021 — conf
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models.
APSIPA ASC
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021 J jnl
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models.
CoRR
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021 J jnl
Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain.
IEEE ACM Trans. Audio Speech Lang. Process.
Yuki Mitsufuji, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari
2021 — conf
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis.
APSIPA ASC
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino
2021 J jnl
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis.
CoRR
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino
2020 J jnl
Acoustic model-based subword tokenization and prosodic-context extraction without language knowledge for text-to-speech synthesis.
Speech Commun.
Masashi Aso, Shinnosuke Takamichi, Norihiro Takamune, Hiroshi Saruwatari
2020 J jnl
Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution.
IEEE ACM Trans. Audio Speech Lang. Process.
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2020 Misc conf
Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution.
ICASSP
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani
2020 J jnl
Convergence-guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's t Distribution.
CoRR
Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani
2020 J jnl
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.
Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Nobutaka Ono
2020 — conf
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Student's t-distribution.
APSIPA
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2020 — conf
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution.
EUSIPCO
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2020 J jnl
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution.
CoRR
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2020 J jnl
Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain.
IEEE ACM Trans. Audio Speech Lang. Process.
Yuki Mitsufuji, Stefan Uhlich, Norihiro Takamune, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari
2020 J jnl
Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks.
Signal Process.
Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2020 Misc conf
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-Based Prior Distribution of Joint-Diagonalization Process.
ICASSP
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2020 J jnl
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-based Prior Distribution of Joint-Diagonalization Process.
CoRR
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2019 — conf
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction.
APSIPA
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2019 J jnl
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction.
CoRR
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2019 J jnl
Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in Nonnegative Matrix Factorization.
IEEE Signal Process. Lett.
Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono
2019 — conf
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation.
EUSIPCO
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2019 J jnl
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation.
CoRR
Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2019 — conf
Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation.
APSIPA
Masakazu Une, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Shoji Makino
2019 J jnl
Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process.
Naoki Makishima, Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hayato Sumino, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono
2019 J jnl
Independent Low-Rank Matrix Analysis Based on Generalized Kullback-Leibler Divergence.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Shinichi Mogami, Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Hiroaki Nakajima, Hirokazu Kameoka
2019 — conf
Robust Demixing Filter Update Algorithm Based on Microphone-wise Coordinate Descent for Independent Deeply Learned Matrix Analysis.
APSIPA
Naoki Makishima, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2019 — conf
Subword tokenization based on DNN-based acoustic model for end-to-end prosody generation.
SSW
Masashi Aso, Shinnosuke Takamichi, Norihiro Takamune, Hiroshi Saruwatari
2018 J jnl
Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation.
EURASIP J. Adv. Signal Process.
Daichi Kitamura, Shinichi Mogami, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono, Yu Takahashi, Kazunobu Kondo
2018 — conf
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation.
EUSIPCO
Shinichi Mogami, Hayato Sumino, Daichi Kitamura, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono
2018 J jnl
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation.
CoRR
Shinichi Mogami, Hayato Sumino, Daichi Kitamura, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari, Nobutaka Ono
2018 — conf
Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model.
APSIPA
Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Hiroaki Nakajima, Nobutaka Ono
2018 — conf
Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network.
IWAENC
Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2018 J jnl
Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network.
CoRR
Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari
2018 J jnl
Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition.
IEEE Trans. Signal Process.
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari
2018 Misc conf
Vectorwise Coordinate Descent Algorithm for Spatially Regularized Independent Low-Rank Matrix Analysis.
ICASSP
Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2017 J jnl
Independent Low-Rank Matrix Analysis Based on Complex Student's t-Distribution for Blind Audio Source Separation.
CoRR
Shinichi Mogami, Daichi Kitamura, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono
2017 J jnl
Independent Low-Rank Matrix Analysis Based on Parametric Majorization-Equalization Algorithm.
CoRR
Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2017 — conf
Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation.
MLSP
Shinichi Mogami, Daichi Kitamura, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono
2017 — conf
Independent low-rank matrix analysis based on parametric majorization-equalization algorithm.
CAMSAP
Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2017 Misc conf
Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics.
ICASSP
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari
2016 — conf
Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation.
APSIPA
Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2016 — conf
Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation.
EUSIPCO
Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari, Nobutaka Ono, Yu Takahashi, Kazunobu Kondo
2016 Misc conf
Sparse sound field decomposition with multichannel extension of complex NMF.
ICASSP
Naoki Murata, Shoichi Koyama, Hirokazu Kameoka, Norihiro Takamune, Hiroshi Saruwatari
2015 — conf
Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction.
CAMSAP
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari
2014 — conf
Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation.
ISMIR
Tomohiko Nakamura, Kotaro Shikata, Norihiro Takamune, Hirokazu Kameoka
2014 — conf
Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach.
MLSP
Norihiro Takamune, Hirokazu Kameoka
2014 — conf
Training Restricted Boltzmann Machines with auxiliary function approach.
MLSP
Hirokazu Kameoka, Norihiro Takamune
2014 Misc conf
Underdetermined blind separation and tracking of moving sources based ONDOA-HMM.
ICASSP
Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura, Hirokazu Kameoka