| Bayesian nonparametric spectrogram modeling based on infinite factorial infinite hidden Markov model M Nakano, J Le Roux, H Kameoka, T Nakamura, N Ono, S Sagayama 2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011 | 50 | 2011 |
| Outer-product hidden Markov model and polyphonic MIDI score following E Nakamura, T Nakamura, Y Saito, N Ono, S Sagayama Journal of New Music Research 43 (2), 183-201, 2014 | 37 | 2014 |
| Underdetermined blind separation and tracking of moving sources based ONDOA-HMM T Higuchi, N Takamune, T Nakamura, H Kameoka 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 31 | 2014 |
| Real-time audio-to-score alignment of music performances containing errors and arbitrary repeats and skips T Nakamura, E Nakamura, S Sagayama IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (2), 329-339, 2015 | 28 | 2015 |
| Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform T Nakamura, H Saruwatari ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 22 | 2020 |
| Fast Signal Reconstruction from Magnitude Spectrogram of Continuous Wavelet Transform Based on Spectrogram Consistency. T Nakamura, H Kameoka DAFx, 129-135, 2014 | 22 | 2014 |
| Acoustic score following to musical performance with errors and arbitrary repeats and skips for automatic accompaniment T Nakamura, E Nakamura, S Sagayama Proceedings of Sound and Music Computing, 299-304, 2013 | 20 | 2013 |
| Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds M Kawamura, T Nakamura, D Kitamura, H Saruwatari, Y Takahashi, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 16 | 2022 |
| Automatic music accompaniment allowing errors and arbitrary repeats and jumps S Sagayama, T Nakamura, E Nakamura, Y Saito, H Kameoka, N Ono Proceedings of Meetings on Acoustics 167ASA 21 (1), 035003, 2014 | 16 | 2014 |
| Timbre replacement of harmonic and drum components for music audio signals T Nakamura, H Kameoka, K Yoshii, M Goto 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 16 | 2014 |
| Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation K Shigemi, S Koyama, T Nakamura, H Saruwatari 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022 | 14 | 2022 |
| A unified approach for underdetermined blind signal separation and source activity detection by multichannel factorial hidden Markov models T Higuchi, H Takeda, T Nakamura, H Kameoka Fifteenth Annual Conference of the International Speech Communication …, 2014 | 14 | 2014 |
| Time-Domain Audio Source Separation With Neural Networks Based on Multiresolution Analysis T Nakamura, S Kozuka, H Saruwatari IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1687-1701, 2021 | 13 | 2021 |
| Head-Related Transfer Function Interpolation From Spatially Sparse Measurements Using Autoencoder With Source Position Conditioning Y Ito, T Nakamura, S Koyama, H Saruwatari 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022 | 9 | 2022 |
| Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method K Saito, T Nakamura, K Yatabe, Y Koizumi, H Saruwatari 2021 29th European Signal Processing Conference (EUSIPCO), 321-325, 2021 | 9 | 2021 |
| Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation. T Nakamura, K Shikata, N Takamune, H Kameoka ISMIR, 623-628, 2014 | 7 | 2014 |
| SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling T Saeki, S Takamichi, T Nakamura, N Tanji, H Saruwatari Proceedings of Interspeech 2022, 4406--4410, 2022 | 6 | 2022 |
| Harmonic-Temporal Factor Decomposition for Unsupervised Monaural Separation of Harmonic Sounds T Nakamura, H Kameoka IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 68-82, 2020 | 6 | 2020 |
| Shifted and convolutive source-filter non-negative matrix factorization for monaural audio source separation T Nakamura, H Kameoka 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 6 | 2016 |
| Sampling-Frequency-Independent Convolutional Layer and its Application to Audio Source Separation K Saito, T Nakamura, K Yatabe, H Saruwatari IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2928-2943, 2022 | 5 | 2022 |
Hiroshi SaruwatariProfessor, The University of Tokyo在 ipc.i.u-tokyo.ac.jp 的电子邮件经过验证
