Norihiro Takamune

Orcid: 0000-0002-8102-3110

According to our database1, Norihiro Takamune authored at least 48 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Real-time Speech Extraction Using Spatially Regularized Independent Low-rank Matrix Analysis and Rank-constrained Spatial Covariance Matrix Estimation.
CoRR, 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

HumanDiffusion: diffusion model using perceptual gradients.
CoRR, 2023

NoisyILRMA: Diffuse-Noise-Aware Independent Low-Rank Matrix Analysis for Fast Blind Source Extraction.
Proceedings of the 31st European Signal Processing Conference, 2023

Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides.
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

Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation.
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
Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation.
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

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

Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation.
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
Sparse sound field decomposition with multichannel extension of complex NMF.
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

Training Restricted Boltzmann Machines with auxiliary function approach.
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

Underdetermined blind separation and tracking of moving sources based ONDOA-HMM.
Proceedings of the IEEE International Conference on Acoustics, 2014


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