Norihiro Takamune
Orcid: 0000-0002-8102-3110
According to our database1,
Norihiro Takamune
authored at least 50 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals.
CoRR, 2024
Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Music Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction.
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Blind Source Separation Using Independent Low-Rank Matrix Analysis with Spectrogram-Consistency Regularization.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
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
2021
Multichannel Blind Source Separation Based on Evanescent-Region-Aware Non-Negative Tensor Factorization in Spherical Harmonic Domain.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Independent deeply learned matrix analysis with automatic selection of stable microphone-wise update and fast sourcewise update of demixing matrix.
Signal Process., 2021
Joint-diagonalizability-constrained multichannel nonnegative matrix factorization based on time-variant multivariate complex sub-Gaussian distribution.
Signal Process., 2021
Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation.
Proceedings of the 29th European Signal Processing Conference, 2021
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2020
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., 2020
Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Acoustic model-based subword tokenization and prosodic-context extraction without language knowledge for text-to-speech synthesis.
Speech Commun., 2020
Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks.
Signal Process., 2020
Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-Based Prior Distribution of Joint-Diagonalization Process.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Sub-Gaussian Distribution.
Proceedings of the 28th European Signal Processing Conference, 2020
Joint-Diagonalizability-Constrained Multichannel Nonnegative Matrix Factorization Based on Multivariate Complex Student's t-distribution.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
2019
IEEE ACM Trans. Audio Speech Lang. Process., 2019
Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in Nonnegative Matrix Factorization.
IEEE Signal Process. Lett., 2019
Independent Low-Rank Matrix Analysis Based on Generalized Kullback-Leibler Divergence.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019
Subword tokenization based on DNN-based acoustic model for end-to-end prosody generation.
Proceedings of the 10th ISCA Speech Synthesis Workshop, 2019
Efficient Full-Rank Spatial Covariance Estimation Using Independent Low-Rank Matrix Analysis for Blind Source Separation.
Proceedings of the 27th European Signal Processing Conference, 2019
Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
Robust Demixing Filter Update Algorithm Based on Microphone-wise Coordinate Descent for Independent Deeply Learned Matrix Analysis.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
2018
Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition.
IEEE Trans. Signal Process., 2018
Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation.
EURASIP J. Adv. Signal Process., 2018
Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network.
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018
Vectorwise Coordinate Descent Algorithm for Spatially Regularized Independent Low-Rank Matrix Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2017
Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Spatio-temporal sparse sound field decomposition considering acoustic source signal characteristics.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Independent low-rank matrix analysis based on parametric majorization-equalization algorithm.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation.
Proceedings of the 24th European Signal Processing Conference, 2016
Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016
2015
Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014