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Daichi Kitamura
Observed names:
Daichi KITAMURA,
KITAMURA, Daichi,
Kitamura, Daichi,
北村 大地
Institution:
National Institute of Technology, Kagawa College
Observed institutions:
The Graduate University for Advanced Studies, SOKENDAI,
National Institute of Technology,
National Institute of Technology, Kagawa College,
The University of Tokyo,
Nara Institute of Science and Technology
ORCID:
0000-0003-1117-7939
Observed ORCID:
0000-0003-1117-7939
OpenAlex ID:
A5071479017
Works
120
Awards
4
Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization
2016
·
Daichi Kitamura
, Nobutaka Ono
, et al.
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
366
The 2016 Signal Separation Evaluation Campaign
2017
·
Antoine Liutkus
, Fabian-Robert Stöter
, et al.
·
Lecture notes in computer science
·
181
A review of blind source separation methods: two converging routes to ILRMA originating from ICA and NMF
2019
·
Hiroshi Sawada
, Nobutaka Ono
, et al.
·
APSIPA Transactions on Signal and Information Processing
·
145
PDF
The 2015 Signal Separation Evaluation Campaign
2015
·
Nobutaka Ono
, Zafar Rafii
, et al.
·
Lecture notes in computer science
·
86
Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation
2019
·
Naoki Makishima
, Shinichi Mogami
, et al.
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
75
PDF
Determined Blind Source Separation with Independent Low-Rank Matrix Analysis
2018
·
Daichi Kitamura
, Nobutaka Ono
, et al.
·
Signals and communication technology
·
70
Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation
2018
·
Daichi Kitamura
, Shinichi Mogami
, et al.
·
EURASIP Journal on Advances in Signal Processing
·
49
PDF
Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model
2015
·
Daichi Kitamura
, Nobutaka Ono
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
47
Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network
2018
·
Shinnosuke Takamichi
, Yuki Saito
, et al.
·
International Workshop on Acoustic Signal Enhancement
·
46
PDF
Determined BSS Based on Time-Frequency Masking and Its Application to Harmonic Vector Analysis
2021
·
Kohei Yatabe
, Daichi Kitamura
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
37
PDF
Multichannel Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization with Spectrogram Restoration
2015
·
Daichi Kitamura
, Hiroshi Saruwatari
, et al.
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
37
Vectorwise Coordinate Descent Algorithm for Spatially Regularized Independent Low-Rank Matrix Analysis
2018
·
Yoshiki Mitsui
, Norihiro Takamune
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
36
Music Signal Separation Based on Supervised Nonnegative Matrix Factorization with Orthogonality and Maximum-Divergence Penalties
2014
·
Daichi KITAMURA
, Hiroshi SARUWATARI
, et al.
·
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
·
34
Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation
2018
·
Shinichi Mogami
, Hayato Sumino
, et al.
·
European Signal Processing Conference (EUSIPCO)
·
33
PDF
Consistent independent low-rank matrix analysis for determined blind source separation
2020
·
Daichi Kitamura
, Kohei Yatabe
·
EURASIP Journal on Advances in Signal Processing
·
29
PDF
Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model for Determined Blind Source Separation
2019
·
Shinichi Mogami
, Norihiro Takamune
, et al.
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
29
PDF
Determined Blind Source Separation via Proximal Splitting Algorithm
2018
·
Kohei Yatabe
, Daichi Kitamura
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
28
Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks
2019
·
Shinnosuke Takamichi
, Yuki Saito
, et al.
·
Signal Processing
·
26
PDF
Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation
2017
·
Shinichi Mogami
, Daichi Kitamura
, et al.
·
Machine learning for signal processing ...
·
25
PDF
Relaxation of rank-1 spatial constraint in overdetermined blind source separation
2015
·
Daichi Kitamura
, Nobutaka Ono
, et al.
·
European Signal Processing Conference (EUSIPCO)
·
20
PDF
Time-frequency-masking-based Determined BSS with Application to Sparse IVA
2019
·
Kohei Yatabe
, Daichi Kitamura
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
18
Blind source separation based on independent low-rank matrix analysis with sparse regularization for time-series activity
2017
·
Yoshiki Mitsui
, Daichi Kitamura
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
18
Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain
2019
·
Yuki Mitsufuji
, Stefan Uhlich
, et al.
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
16
PDF
Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution
2020
·
Yuki Kubo
, Norihiro Takamune
, et al.
·
IEEE/ACM Transactions on Audio Speech and Language Processing
·
15
PDF
Efficient initialization for nonnegative matrix factorization based on nonnegative independent component analysis
2016
·
Daichi Kitamura
, Nobutaka Ono
·
International Workshop on Acoustic Signal Enhancement
·
15
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Works count:
120
Citation count:
1,730
H-index:
20
I10-index:
30
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