| Discriminative learning for minimum error classification (pattern recognition) BH Juang, S Katagiri IEEE Transactions on signal processing 40 (12), 3043-3054, 1992 | 1107 | 1992 |
| ATR Japanese speech database as a tool of speech recognition and synthesis A Kurematsu, K Takeda, Y Sagisaka, S Katagiri, H Kuwabara, K Shikano Speech communication 9 (4), 357-363, 1990 | 418 | 1990 |
| Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method S Katagiri, BH Juang, CH Lee Proceedings of the IEEE 86 (11), 2345-2373, 1998 | 248 | 1998 |
| Discriminative training for large-vocabulary speech recognition using minimum classification error E McDermott, TJ Hazen, J Le Roux, A Nakamura, S Katagiri IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 203-223, 2006 | 216 | 2006 |
| Confusion-matrix-based kernel logistic regression for imbalanced data classification M Ohsaki, P Wang, K Matsuda, S Katagiri, H Watanabe, A Ralescu IEEE Transactions on Knowledge and Data Engineering 29 (9), 1806-1819, 2017 | 207 | 2017 |
| New discriminative training algorithms based on the generalized probabilistic descent method S Katagiri, CH Lee, BH Juang Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop …, 1991 | 190 | 1991 |
| An application of discriminative feature extraction to filter-bank-based speech recognition A Biem, S Katagiri, E McDermott, BH Juang IEEE Transactions on Speech and Audio Processing 9 (2), 96-110, 2001 | 117 | 2001 |
| Signal pattern recognition apparatus comprising parameter training controller for training feature conversion parameters and discriminant functions H Watanabe, T Yamaguchi, S Katagiri US Patent 5,754,681, 1998 | 110 | 1998 |
| Nonlinear dynamical systems: feedforward neural network perspectives IW Sandberg, JT Lo, CL Fancourt, JC Principe, S Katagiri, S Haykin John Wiley & Sons, 2001 | 105 | 2001 |
| Shift-invariant, multi-category phoneme recognition using Kohonen's LVQ2 E McDermott, S Katagiri International Conference on Acoustics, Speech, and Signal Processing,, 81-84, 1989 | 102 | 1989 |
| A large-scale Japanese speech database Y Sagisaka Proc. ICSLP, 1990, 1990 | 94 | 1990 |
| Feature extraction based on minimum classification error/generalized probabilistic descent method A Biem, S Katagiri 1993 IEEE International Conference on Acoustics, Speech, and Signal …, 1993 | 84 | 1993 |
| Speaker adaptive training using deep neural networks T Ochiai, S Matsuda, X Lu, C Hori, S Katagiri 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 82 | 2014 |
| Pattern recognition using discriminative feature extraction A Biem, S Katagiri, BH Juang IEEE Transactions on Signal Processing 45 (2), 500-504, 1997 | 80 | 1997 |
| Handbook of neural networks for speech processing S Katagiri Artech House, Inc., 2000 | 79 | 2000 |
| Networks for speech enhancement EA Wan, AT Nelson, S Katagiri Handbook of neural networks for speech processing. Artech House, Boston, USA …, 1999 | 78 | 1999 |
| A Generalized Probabilistic Descent Method. S Katagiri Proceedings of the of Acoustical Society of Japan, Fall Meeting, 141-142, 1990 | 76 | 1990 |
| A new hybrid algorithm for speech recognition based on HMM segmentation and learning vector quantization S Katagiri, CH Lee IEEE Transactions on Speech and Audio Processing 1 (4), 421-430, 1993 | 75 | 1993 |
| A hybrid speech recognition system using HMMs with an LVQ-trained codebook H Iwamida, S Katagiri, E McDermott, Y Tohkura Journal of the Acoustical Society of Japan (E) 11 (5), 277-286, 1990 | 74 | 1990 |
| Prototype-based minimum classification error/generalized probabilistic descent training for various speech units E McDermott, S Katagiri Computer Speech & Language 8 (4), 351-368, 1994 | 70 | 1994 |
