| A robust and precise method for solving the permutation problem of frequency-domain blind source separation H Sawada, R Mukai, S Araki, S Makino IEEE transactions on speech and audio processing 12 (5), 530-538, 2004 | 788 | 2004 |
| The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech S Araki, R Mukai, S Makino, T Nishikawa, H Saruwatari IEEE Transactions on Speech and Audio Processing 11 (2), 109-116, 2003 | 494 | 2003 |
| Underdetermined convolutive blind source separation via frequency bin-wise clustering and permutation alignment H Sawada, S Araki, S Makino IEEE Transactions on Audio, Speech, and Language Processing 19 (3), 516-527, 2010 | 418 | 2010 |
| Multichannel extensions of non-negative matrix factorization with complex-valued data H Sawada, H Kameoka, S Araki, N Ueda IEEE Transactions on Audio, Speech, and Language Processing 21 (5), 971-982, 2013 | 350 | 2013 |
| Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors S Araki, H Sawada, R Mukai, S Makino Signal processing 87 (8), 1833-1847, 2007 | 327 | 2007 |
| The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices T Yoshioka, N Ito, M Delcroix, A Ogawa, K Kinoshita, M Fujimoto, C Yu, ... 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 263 | 2015 |
| The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges E Vincent, S Araki, F Theis, G Nolte, P Bofill, H Sawada, A Ozerov, ... Signal Processing 92 (8), 1928-1936, 2012 | 227 | 2012 |
| Polar coordinate based nonlinear function for frequency-domain blind source separation H Sawada, R Mukai, S Araki, S Makino IEICE transactions on fundamentals of electronics, communications and …, 2003 | 222 | 2003 |
| The 2011 signal separation evaluation campaign (SiSEC2011):-audio source separation S Araki, F Nesta, E Vincent, Z Koldovský, G Nolte, A Ziehe, A Benichoux Latent Variable Analysis and Signal Separation: 10th International …, 2012 | 190 | 2012 |
| The 2008 signal separation evaluation campaign: A community-based approach to large-scale evaluation E Vincent, S Araki, P Bofill International Conference on Independent Component Analysis and Signal …, 2009 | 181 | 2009 |
| Grouping separated frequency components by estimating propagation model parameters in frequency-domain blind source separation H Sawada, S Araki, R Mukai, S Makino IEEE Transactions on Audio, Speech, and Language Processing 15 (5), 1592-1604, 2007 | 169 | 2007 |
| Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain BSS H Sawada, S Araki, S Makino 2007 IEEE international symposium on circuits and systems, 3247-3250, 2007 | 169 | 2007 |
| Blind extraction of dominant target sources using ICA and time-frequency masking H Sawada, S Araki, R Mukai, S Makino IEEE Transactions on Audio, Speech, and Language Processing 14 (6), 2165-2173, 2006 | 135 | 2006 |
| Exploring multi-channel features for denoising-autoencoder-based speech enhancement S Araki, T Hayashi, M Delcroix, M Fujimoto, K Takeda, T Nakatani 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 132 | 2015 |
| Frequency-domain blind source separation J Benesty, S Makino, J Chen, H Sawada, R Mukai, S Araki, S Makino Speech enhancement, 299-327, 2005 | 131 | 2005 |
| Online MVDR beamformer based on complex Gaussian mixture model with spatial prior for noise robust ASR T Higuchi, N Ito, S Araki, T Yoshioka, M Delcroix, T Nakatani IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (4), 780-793, 2017 | 125 | 2017 |
| A multichannel MMSE-based framework for speech source separation and noise reduction M Souden, S Araki, K Kinoshita, T Nakatani, H Sawada IEEE Transactions on Audio, Speech, and Language Processing 21 (9), 1913-1928, 2013 | 122 | 2013 |
| Improving speaker discrimination of target speech extraction with time-domain speakerbeam M Delcroix, T Ochiai, K Zmolikova, K Kinoshita, N Tawara, T Nakatani, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 112 | 2020 |
| Blind source separation of convolutive mixtures of speech in frequency domain S Makino, H Sawada, R Mukai, S Araki IEICE transactions on fundamentals of electronics, communications and …, 2005 | 112 | 2005 |
| Equivalence between frequency-domain blind source separation and frequency-domain adaptive beamforming for convolutive mixtures S Araki, S Makino, Y Hinamoto, R Mukai, T Nishikawa, H Saruwatari EURASIP Journal on Advances in Signal Processing 2003, 1-10, 2003 | 112 | 2003 |
Shoji MakinoWaseda UniversityDirección de correo verificada de ieee.org
