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2020 – today
- 2022
[i11]Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. CoRR abs/2202.00200 (2022)- [i10]Takaaki Saeki, Shinnosuke Takamichi, Tomohiko Nakamura, Naoko Tanji, Hiroshi Saruwatari:
SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling. CoRR abs/2203.12937 (2022) - 2021
- [j4]Tomohiko Nakamura
, Hirokazu Kameoka:
Harmonic-Temporal Factor Decomposition for Unsupervised Monaural Separation of Harmonic Sounds. IEEE ACM Trans. Audio Speech Lang. Process. 29: 68-82 (2021) - [j3]Tomohiko Nakamura, Shihori Kozuka, Hiroshi Saruwatari:
Time-Domain Audio Source Separation With Neural Networks Based on Multiresolution Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1687-1701 (2021) - [c20]Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino:
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. APSIPA ASC 2021: 578-584 - [c19]Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. APSIPA ASC 2021: 651-658 - [c18]Takuya Hasumi, Tomohiko Nakamura, Norihiro Takarnune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo:
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. APSIPA ASC 2021: 1226-1233 - [c17]Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari:
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. EUSIPCO 2021: 321-325 - [c16]Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani:
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. EUSIPCO 2021: 326-330 - [c15]Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo:
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. EUSIPCO 2021: 331-335 - [i9]Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari:
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. CoRR abs/2105.04079 (2021) - [i8]Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo:
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. CoRR abs/2106.03492 (2021) - [i7]Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani:
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. CoRR abs/2106.05529 (2021) - [i6]Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. CoRR abs/2109.00237 (2021) - [i5]Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo:
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. CoRR abs/2109.00704 (2021) - [i4]Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino:
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. CoRR abs/2109.04658 (2021) - 2020
- [c14]Tomohiko Nakamura, Hiroshi Saruwatari:
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. ICASSP 2020: 386-390 - [i3]Tomohiko Nakamura, Hiroshi Saruwatari:
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. CoRR abs/2001.10190 (2020)
2010 – 2019
- 2018
- [j2]Ryosuke Suga, Tomohiko Nakamura, Daisuke Kitahara, Kiyomichi Araki, Osamu Hashimoto:
Winding Ratio Design of Transformer in Equivalent Circuit of Circular Patch Array Absorber. IEICE Trans. Electron. 101-C(8): 651-654 (2018) - 2016
- [j1]Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama:
Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. IEEE ACM Trans. Audio Speech Lang. Process. 24(2): 329-339 (2016) - [c13]Tomohiko Nakamura, Hirokazu Kameoka:
Shifted and convolutive source-filter non-negative matrix factorization for monaural audio source separation. ICASSP 2016: 489-493 - 2015
- [c12]Tomohiko Nakamura, Hirokazu Kameoka:
Lp-norm non-negative matrix factorization and its application to singing voice enhancement. ICASSP 2015: 2115-2119 - [i2]Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama:
Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. CoRR abs/1512.07748 (2015) - 2014
- [c11]Tomohiko Nakamura, Hirokazu Kameoka:
Fast Signal Reconstruction from Magnitude Spectrogram of Continuous Wavelet Transform Based on Spectrogram Consistency. DAFx 2014: 129-135 - [c10]Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura, Hirokazu Kameoka:
Underdetermined blind separation and tracking of moving sources based ONDOA-HMM. ICASSP 2014: 3191-3195 - [c9]Tomohiko Nakamura, Hirokazu Kameoka, Kazuyoshi Yoshii, Masataka Goto:
Timbre replacement of harmonic and drum components for music audio signals. ICASSP 2014: 7470-7474 - [c8]Takuya Higuchi, Hirofumi Takeda, Tomohiko Nakamura, Hirokazu Kameoka:
A unified approach for underdetermined blind signal separation and source activity detection by multichannel factorial hidden Markov models. INTERSPEECH 2014: 850-854 - [c7]Tomohiko Nakamura, Kotaro Shikata, Norihiro Takamune, Hirokazu Kameoka:
Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation. ISMIR 2014: 623-628 - [i1]Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono, Shigeki Sagayama:
Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following. CoRR abs/1404.2313 (2014) - 2011
- [c6]Masahiro Nakano, Jonathan Le Roux, Hirokazu Kameoka, Tomohiko Nakamura, Nobutaka Ono, Shigeki Sagayama:
Bayesian nonparametric spectrogram modeling based on infinite factorial infinite hidden Markov model. WASPAA 2011: 325-328
2000 – 2009
- 2004
- [c5]Masanori Nakano, Kazi A. Kalpoma, Tomohiko Nakamura, Jun-ichi Kudoh:
A design of category classification system for high resolution satellite. IGARSS 2004: 4516-4518 - [c4]Tetsuo Hidaka, Tetsushi Morita, Tomohiko Nakamura, Morihide Oinuma, Yutaka Hirakawa:
Improvement of Visual Customer Relationship Management System. IRI 2004: 332-337 - 2003
- [c3]Jun-ichi Kudoh, Tomohiko Nakamura, S. Shikano, E. Kikuchi:
Three dimensional histogram technique for IKONOS images. IGARSS 2003: 3474-3476
1990 – 1999
- 1999
- [c2]Toru Abe, Tomohiko Nakamura:
Hierarchical-Clustering of Parametric Data with Application to the Parametric Eigenspace Method. ICIP (4) 1999: 118-122 - 1998
- [c1]Toru Abe, Tomohiko Nakamura:
Hierarchical Dictionary Constructing Method for the Parametric Eigenspace Method. MVA 1998: 502-505
Coauthor Index
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