Underdetermined blind separation and tracking of moving sources based ONDOA-HMM. - Takuya Higuchi; Norihiro Takamune; Tomohiko Nakamura; Hirokazu Kameoka (ICASSP, 2014)

Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation. - Tomohiko Nakamura; Kotaro Shikata; Norihiro Takamune; Hirokazu Kameoka (ISMIR, 2014)

Training Restricted Boltzmann Machines with auxiliary function approach. - Hirokazu Kameoka; Norihiro Takamune (MLSP, 2014)

Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach. - Norihiro Takamune; Hirokazu Kameoka (MLSP, 2014)

Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction. - Naoki Murata; Shoichi Koyama; Norihiro Takamune; Hiroshi Saruwatari (CAMSAP, 2015)

Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation. - Hiroaki Nakajima; Daichi Kitamura; Norihiro Takamune; Shoichi Koyama; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (APSIPA, 2016)

Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation. - Hiroaki Nakajima; Daichi Kitamura; Norihiro Takamune; Shoichi Koyama; Hiroshi Saruwatari; Nobutaka Ono; Yu Takahashi; Kazunobu Kondo (EUSIPCO, 2016)

Sparse sound field decomposition with multichannel extension of complex NMF. - Naoki Murata; Shoichi Koyama; Hirokazu Kameoka; Norihiro Takamune; Hiroshi Saruwatari (ICASSP, 2016)

Independent low-rank matrix analysis based on parametric majorization-equalization algorithm. - Yoshiki Mitsui; Daichi Kitamura; Norihiro Takamune; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (CAMSAP, 2017)

Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics. - Naoki Murata; Shoichi Koyama; Norihiro Takamune; Hiroshi Saruwatari (ICASSP, 2017)

Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation. - Shinichi Mogami; Daichi Kitamura; Yoshiki Mitsui; Norihiro Takamune; Hiroshi Saruwatari; Nobutaka Ono (MLSP, 2017)

Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model. - Shinichi Mogami; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo; Hiroaki Nakajima; Nobutaka Ono (APSIPA, 2018)

Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation. - Shinichi Mogami; Hayato Sumino; Daichi Kitamura; Norihiro Takamune; Shinnosuke Takamichi; Hiroshi Saruwatari; Nobutaka Ono (EUSIPCO, 2018)

Vectorwise Coordinate Descent Algorithm for Spatially Regularized Independent Low-Rank Matrix Analysis. - Yoshiki Mitsui; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (ICASSP, 2018)

Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network. - Shinnosuke Takamichi; Yuki Saito 001; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (IWAENC, 2018)

Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation. - Daichi Kitamura; Shinichi Mogami; Yoshiki Mitsui; Norihiro Takamune; Hiroshi Saruwatari; Nobutaka Ono; Yu Takahashi; Kazunobu Kondo (EURASIP J. Adv. Signal Process., 2018)

Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition. - Naoki Murata; Shoichi Koyama; Norihiro Takamune; Hiroshi Saruwatari (IEEE Trans. Signal Process., 2018)

Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction. - Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (APSIPA, 2019)

Robust Demixing Filter Update Algorithm Based on Microphone-wise Coordinate Descent for Independent Deeply Learned Matrix Analysis. - Naoki Makishima; Norihiro Takamune; Hiroshi Saruwatari; Daichi Kitamura; Yu Takahashi; Kazunobu Kondo (APSIPA, 2019)

Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation. - Masakazu Une; Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Shoji Makino (APSIPA, 2019)

Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation. - Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (EUSIPCO, 2019)

Subword tokenization based on DNN-based acoustic model for end-to-end prosody generation. - Masashi Aso; Shinnosuke Takamichi; Norihiro Takamune; Hiroshi Saruwatari (SSW, 2019)

Independent Low-Rank Matrix Analysis Based on Generalized Kullback-Leibler Divergence. - Shinichi Mogami; Yoshiki Mitsui; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo; Hiroaki Nakajima; Hirokazu Kameoka (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in Nonnegative Matrix Factorization. - Hiroaki Nakajima; Daichi Kitamura; Norihiro Takamune; Hiroshi Saruwatari; Nobutaka Ono (IEEE Signal Process. Lett., 2019)

Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation. - Naoki Makishima; Shinichi Mogami; Norihiro Takamune; Daichi Kitamura; Hayato Sumino; Shinnosuke Takamichi; Hiroshi Saruwatari; Nobutaka Ono (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Student's t-distribution. - Keigo Kamo; Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (APSIPA, 2020)

Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution. - Keigo Kamo; Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (EUSIPCO, 2020)

Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-Based Prior Distribution of Joint-Diagonalization Process. - Keigo Kamo; Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (ICASSP, 2020)

Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution. - Tatsuki Kondo; Kanta Fukushige; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Rintaro Ikeshita; Tomohiro Nakatani (ICASSP, 2020)

Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks. - Shinnosuke Takamichi; Yuki Saito 001; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (Signal Process., 2020)

Acoustic model-based subword tokenization and prosodic-context extraction without language knowledge for text-to-speech synthesis. - Masashi Aso; Shinnosuke Takamichi; Norihiro Takamune; Hiroshi Saruwatari (Speech Commun., 2020)

Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution. - Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain. - Yuki Mitsufuji; Stefan Uhlich; Norihiro Takamune; Daichi Kitamura; Shoichi Koyama; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model for Determined Blind Source Separation. - Shinichi Mogami; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo; Nobutaka Ono (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. - Takuya Hasumi; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari; Daichi Kitamura; Yu Takahashi; Kazunobu Kondo (APSIPA ASC, 2021)

Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. - Sota Misawa; Norihiro Takamune; Tomohiko Nakamura; Daichi Kitamura; Hiroshi Saruwatari; Masakazu Une; Shoji Makino (APSIPA ASC, 2021)

Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. - Takuya Hasumi; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari; Daichi Kitamura; Yu Takahashi; Kazunobu Kondo (EUSIPCO, 2021)

Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. - Naoki Narisawa; Rintaro Ikeshita; Norihiro Takamune; Daichi Kitamura; Tomohiko Nakamura; Hiroshi Saruwatari; Tomohiro Nakatani (EUSIPCO, 2021)

Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction. - Yuto Kondo; Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (ICASSP, 2021)

Joint-diagonalizability-constrained multichannel nonnegative matrix factorization based on time-variant multivariate complex sub-Gaussian distribution. - Keigo Kamo; Yoshiki Mitsui; Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (Signal Process., 2021)

Independent deeply learned matrix analysis with automatic selection of stable microphone-wise update and fast sourcewise update of demixing matrix. - Naoki Makishima; Yoshiki Mitsui; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (Signal Process., 2021)

Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain. - Yuki Mitsufuji; Norihiro Takamune; Shoichi Koyama; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction. - Yuto Kondo; Yuki Kubo; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (EURASIP J. Adv. Signal Process., 2022)

Blind Source Separation Using Independent Low-Rank Matrix Analysis with Spectrogram-Consistency Regularization. - Sota Misawa; Norihiro Takamune; Kohei Yatabe; Daichi Kitamura; Hiroshi Saruwatari (APSIPA ASC, 2023)

Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. - Kanami Imamura; Tomohiko Nakamura; Norihiro Takamune; Kohei Yatabe; Hiroshi Saruwatari (EUSIPCO, 2023)

NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction. - Koki Nishida; Norihiro Takamune; Rintaro Ikeshita; Daichi Kitamura; Hiroshi Saruwatari; Tomohiro Nakatani (EUSIPCO, 2023)

HumanDiffusion: diffusion model using perceptual gradients. - Yota Ueda; Shinnosuke Takamichi; Yuki Saito 001; Norihiro Takamune; Hiroshi Saruwatari (INTERSPEECH, 2023)

PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Music Source Separation. - Takuya Hasumi; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari; Daichi Kitamura; Yu Takahashi; Kazunobu Kondo (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Auxiliary-Function-Based Steering Vector Estimation Method for Spatially Regularized Independent Low-Rank Matrix Analysis. - Sota Hirata; Norihiro Takamune; Kouei Yamaoka; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (APSIPA, 2024)

Real-Time Noise Estimation for Lombard-Effect Speech Synthesis in Human-Avatar Dialogue Systems. - Yuto Ishikawa; Osamu Take; Tomohiko Nakamura; Norihiro Takamune; Yuki Saito 001; Shinnosuke Takamichi; Hiroshi Saruwatari (APSIPA, 2024)

Design of Spectrogram-Consistency Regularization Term Dependent on Observation in Independent Low-Rank Matrix Analysis for Blind Source Separation. - Takaaki Kojima; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari (APSIPA, 2024)

Beamforming informed independent low-rank matrix analysis for sound source enhancement in unmanned aerial vehicles. - Jin Xuan Teh; Norihiro Takamune; Hiroshi Saruwatari; Benjamin Yen 001; Michael Kingan; Yusuke Hioka (APSIPA, 2024)

Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation. - Yuto Ishikawa; Kohei Konaka; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari (ICASSP Workshops, 2024)

Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals. - Kentaro Seki; Shinnosuke Takamichi; Norihiro Takamune; Yuki Saito 001; Kanami Imamura; Hiroshi Saruwatari (INTERSPEECH, 2024)

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. - Yuto Ishikawa; Tomohiko Nakamura; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (IEEE Access, 2025)

Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network. - Kanami Imamura; Tomohiko Nakamura; Norihiro Takamune; Kohei Yatabe; Hiroshi Saruwatari (CoRR, 2025)