A multipitch analyzer based on harmonic temporal structured clustering H Kameoka, T Nishimoto, S Sagayama IEEE Transactions on Audio, Speech, and Language Processing 15 (3), 982-994, 2007 | 239 | 2007 |
A successive state splitting algorithm for efficient allophone modeling J Takami, S Sagayama Acoustics, Speech, and Signal Processing, IEEE International Conference on 2 …, 1992 | 222 | 1992 |
Complex NMF: A new sparse representation for acoustic signals H Kameoka, N Ono, K Kashino, S Sagayama 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 210 | 2009 |
Separation of a monaural audio signal into harmonic/percussive components by complementary diffusion on spectrogram N Ono, K Miyamoto, J Le Roux, H Kameoka, S Sagayama 2008 16th European Signal Processing Conference, 1-4, 2008 | 207 | 2008 |
音声認識システム 鹿野清宏 IT Text, 2001 | 182 | 2001 |
Convergence-guaranteed multiplicative algorithms for nonnegative matrix factorization with β-divergence M Nakano, H Kameoka, J Le Roux, Y Kitano, N Ono, S Sagayama 2010 IEEE international workshop on machine learning for signal processing …, 2010 | 166 | 2010 |
Free software toolkit for Japanese large vocabulary continuous speech recognition T Kawahara, A Lee, T Kobayashi, K Takeda, N Minematsu, S Sagayama, ... | 162 | 2000 |
Substroke approach to HMM-based on-line Kanji handwriting recognition M Nakai, N Akira, H Shimodaira, S Sagayama Proceedings of Sixth International Conference on Document Analysis and …, 2001 | 154 | 2001 |
Blind alignment of asynchronously recorded signals for distributed microphone array N Ono, H Kohno, N Ito, S Sagayama 2009 IEEE Workshop on Applications of Signal Processing to Audio and …, 2009 | 146 | 2009 |
Multipitch analysis with harmonic nonnegative matrix approximation SA Raczynski Proc. 8th International Conference on Music Information Retrieval, 2007, 2007 | 141 | 2007 |
A Real-time Equalizer of Harmonic and Percussive Components in Music Signals. N Ono, K Miyamoto, H Kameoka, S Sagayama ISMIR, 139-144, 2008 | 134 | 2008 |
Fast signal reconstruction from magnitude STFT spectrogram based on spectrogram consistency J Le Roux, H Kameoka, N Ono, S Sagayama Proc. DAFx 10, 397-403, 2010 | 133 | 2010 |
Explicit consistency constraints for STFT spectrograms and their application to phase reconstruction. J Le Roux, N Ono, S Sagayama SAPA@ INTERSPEECH, 23-28, 2008 | 128 | 2008 |
HMM-based approach for automatic chord detection using refined acoustic features Y Ueda, Y Uchiyama, T Nishimoto, N Ono, S Sagayama 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 123 | 2010 |
連続音声認識ソフトウェア Julius (< 特集> 研究のツールボックス (2)) 河原達也, 李晃伸 人工知能 20 (1), 41-49, 2005 | 122 | 2005 |
On-line recognition of handwritten mathematical expressions based on stroke-based stochastic context-free grammar R Yamamoto, S Sako, T Nishimoto, S Sagayama Tenth international workshop on frontiers in handwriting recognition, 2006 | 112 | 2006 |
Jacobian approach to fast acoustic model adaptation S Sagayama, Y Yamaguchi, S Takahashi, J Takahashi 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 109 | 1997 |
Introduction to the special section on deep learning for speech and language processing D Yu, G Hinton, N Morgan, JT Chien, S Sagayama IEEE Transactions on Audio, Speech, and Language Processing 20 (1), 4-6, 2011 | 107 | 2011 |
Sparseness-based 2ch BSS using the EM algorithm in reverberant environment Y Izumi, N Ono, S Sagayama 2007 IEEE Workshop on Applications of Signal Processing to Audio and …, 2007 | 106 | 2007 |
Speaker adaptation based on transfer vector field smoothing with continuous mixture density HMMs K Ohkura, M Sugiyama, S Sagayama Proc. ICSLP 1992, 369-372, 1992 | 105 | 1992 |