Tomohiko Nakamura

82 papers A 6C 4Misc 9Journal 42Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dissecting Performance Degradation in Audio Source Separation under Sampling Frequency Mismatch. CoRR Kanami Imamura, Tomohiko Nakamura, Kohei Yatabe, Hiroshi Saruwatari
2026	J	`jnl`	Phase-Retrieval-Based Physics-Informed Neural Networks For Acoustic Magnitude Field Reconstruction. CoRR Karl Schrader, Shoichi Koyama, Tomohiko Nakamura, Mirco Pezzoli
2026	J	`jnl`	Stride conversion algorithms for convolutional layers and its application to sampling-frequency-independent deep neural networks. Signal Process. Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2025	—	`conf`	Discrete Speech Unit Extraction via Independent Component Analysis. ICASSP Workshops Tomohiko Nakamura, Kwanghee Choi, Keigo Hojo, Yoshiaki Bando, Satoru Fukayama, Shinji Watanabe
2025	J	`jnl`	Discrete Speech Unit Extraction via Independent Component Analysis. CoRR Tomohiko Nakamura, Kwanghee Choi, Keigo Hojo, Yoshiaki Bando, Satoru Fukayama, Shinji Watanabe
2025	—	`conf`	Drum-to-Vocal Percussion Sound Conversion and Its Evaluation Methodology. APSIPA Rinka Nobukawa, Makito Kitamura, Tomohiko Nakamura, Shinnosuke Takamichi, Hiroshi Saruwatari
2025	J	`jnl`	Drum-to-Vocal Percussion Sound Conversion and Its Evaluation Methodology. CoRR Rinka Nobukawa, Makito Kitamura, Tomohiko Nakamura, Shinnosuke Takamichi, Hiroshi Saruwatari
2025	—	`conf`	Head-Related Transfer Function Individualization Using Anthropometric Features and Spatially Independent Latent Representation. WASPAA Ryan Niu, Shoichi Koyama, Tomohiko Nakamura
2025	J	`jnl`	Head-Related Transfer Function Individualization Using Anthropometric Features and Spatially Independent Latent Representation. CoRR Ryan Niu, Shoichi Koyama, Tomohiko Nakamura
2025	J	`jnl`	Hyperbolic Embeddings for Order-Aware Classification of Audio Effect Chains. CoRR Aogu Wada, Tomohiko Nakamura, Hiroshi Saruwatari
2025	—	`conf`	IdolSongsJp Corpus: A Multi-Singer Song Corpus in the Style of Japanese Idol Groups. ISMIR Hitoshi Suda, Junya Koguchi, Shunsuke Yoshida, Tomohiko Nakamura, Satoru Fukayama, Jun Ogata
2025	J	`jnl`	IdolSongsJp Corpus: A Multi-Singer Song Corpus in the Style of Japanese Idol Groups. CoRR Hitoshi Suda, Junya Koguchi, Shunsuke Yoshida, Tomohiko Nakamura, Satoru Fukayama, Jun Ogata
2025	—	`conf`	Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network. EUSIPCO Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2025	J	`jnl`	Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network. CoRR Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2025	C	`conf`	Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer. ASRU Go Nishikawa, Wataru Nakata, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari, Tomohiko Nakamura
2025	J	`jnl`	Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer. CoRR Go Nishikawa, Wataru Nakata, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari, Tomohiko Nakamura
2025	J	`jnl`	Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis With Fast Demixing Matrix Estimation. IEEE Access Yuto Ishikawa, Tomohiko Nakamura, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2024	—	`conf`	DNN-Based Ensemble Singing Voice Synthesis With Interactions Between Singers. SLT Hiroaki Hyodo, Shinnosuke Takamichi, Tomohiko Nakamura, Junya Koguchi, Hiroshi Saruwatari
2024	J	`jnl`	DNN-based ensemble singing voice synthesis with interactions between singers. CoRR Hiroaki Hyodo, Shinnosuke Takamichi, Tomohiko Nakamura, Junya Koguchi, Hiroshi Saruwatari
2024	—	`conf`	FruitsMusic: A Real-World Corpus of Japanese Idol-Group Songs. ISMIR Hitoshi Suda, Shunsuke Yoshida, Tomohiko Nakamura, Satoru Fukayama, Jun Ogata
2024	J	`jnl`	FruitsMusic: A Real-World Corpus of Japanese Idol-Group Songs. CoRR Hitoshi Suda, Shunsuke Yoshida, Tomohiko Nakamura, Satoru Fukayama, Jun Ogata
2024	A	`conf`	Neural Blind Source Separation and Diarization for Distant Speech Recognition. INTERSPEECH Yoshiaki Bando, Tomohiko Nakamura, Shinji Watanabe
2024	J	`jnl`	Neural Blind Source Separation and Diarization for Distant Speech Recognition. CoRR Yoshiaki Bando, Tomohiko Nakamura, Shinji Watanabe
2024	J	`jnl`	Physics-Informed Machine Learning For Sound Field Estimation. CoRR Shoichi Koyama, Juliano G. C. Ribeiro, Tomohiko Nakamura, Natsuki Ueno, Mirco Pezzoli
2024	J	`jnl`	Physics-Informed Machine Learning for Sound Field Estimation: Fundamentals, state of the art, and challenges [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. IEEE Signal Process. Mag. Shoichi Koyama, Juliano G. C. Ribeiro, Tomohiko Nakamura, Natsuki Ueno, Mirco Pezzoli
2024	—	`conf`	Real-Time Noise Estimation for Lombard-Effect Speech Synthesis in Human-Avatar Dialogue Systems. APSIPA Yuto Ishikawa, Osamu Take, Tomohiko Nakamura, Norihiro Takamune, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
2024	—	`conf`	Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation. ICASSP Workshops Yuto Ishikawa, Kohei Konaka, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari
2024	J	`jnl`	Real-time Speech Extraction Using Spatially Regularized Independent Low-rank Matrix Analysis and Rank-constrained Spatial Covariance Matrix Estimation. CoRR Yuto Ishikawa, Kohei Konaka, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari
2024	A	`conf`	Self-Supervised Speech Representations are More Phonetic than Semantic. INTERSPEECH Kwanghee Choi, Ankita Pasad, Tomohiko Nakamura, Satoru Fukayama, Karen Livescu, Shinji Watanabe
2024	J	`jnl`	Self-Supervised Speech Representations are More Phonetic than Semantic. CoRR Kwanghee Choi, Ankita Pasad, Tomohiko Nakamura, Satoru Fukayama, Karen Livescu, Shinji Watanabe
2023	—	`conf`	Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. EUSIPCO Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2023	J	`jnl`	Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. CoRR Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, Hiroshi Saruwatari
2023	A	`conf`	How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics. INTERSPEECH Joonyong Park, Shinnosuke Takamichi, Tomohiko Nakamura, Kentaro Seki, Detai Xin, Hiroshi Saruwatari
2023	J	`jnl`	How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics. CoRR Joonyong Park, Shinnosuke Takamichi, Tomohiko Nakamura, Kentaro Seki, Detai Xin, Hiroshi Saruwatari
2023	J	`jnl`	PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Music Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2023	J	`jnl`	Sampling-Frequency-Independent Universal Sound Separation. CoRR Tomohiko Nakamura, Kohei Yatabe
2023	J	`jnl`	SelfRemaster: Self-Supervised Speech Restoration for Historical Audio Resources. IEEE Access Takaaki Saeki, Shinnosuke Takamichi, Tomohiko Nakamura, Naoko Tanji, Hiroshi Saruwatari
2023	A	`conf`	TimToShape: Supporting Practice of Musical Instruments by Visualizing Timbre with 2D Shapes based on Crossmodal Correspondences. IUI Kota Arai, Yutaro Hirao, Takuji Narumi, Tomohiko Nakamura, Shinnosuke Takamichi, Shigeo Yoshida
2023	Misc	`conf`	jaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus. ICASSP Tomohiko Nakamura, Shinnosuke Takamichi, Naoko Tanji, Satoru Fukayama, Hiroshi Saruwatari
2022	Misc	`conf`	Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. ICASSP Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2022	J	`jnl`	Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. CoRR Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2022	—	`conf`	Head-Related Transfer Function Interpolation From Spatially Sparse Measurements Using Autoencoder With Source Position Conditioning. IWAENC Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari
2022	J	`jnl`	Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning. CoRR Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari
2022	—	`conf`	Physics-Informed Convolutional Neural Network with Bicubic Spline Interpolation for Sound Field Estimation. IWAENC Kazuhide Shigemi, Shoichi Koyama, Tomohiko Nakamura, Hiroshi Saruwatari
2022	J	`jnl`	Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation. CoRR Kazuhide Shigemi, Shoichi Koyama, Tomohiko Nakamura, Hiroshi Saruwatari
2022	J	`jnl`	Sampling-Frequency-Independent Convolutional Layer and its Application to Audio Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Hiroshi Saruwatari
2022	A	`conf`	SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling. INTERSPEECH Takaaki Saeki, Shinnosuke Takamichi, Tomohiko Nakamura, Naoko Tanji, Hiroshi Saruwatari
2022	J	`jnl`	SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling. CoRR Takaaki Saeki, Shinnosuke Takamichi, Tomohiko Nakamura, Naoko Tanji, Hiroshi Saruwatari
2022	J	`jnl`	jaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus. CoRR Tomohiko Nakamura, Shinnosuke Takamichi, Naoko Tanji, Satoru Fukayama, Hiroshi Saruwatari
2021	—	`conf`	Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. EUSIPCO Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021	J	`jnl`	Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. CoRR Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021	J	`jnl`	Harmonic-Temporal Factor Decomposition for Unsupervised Monaural Separation of Harmonic Sounds. IEEE ACM Trans. Audio Speech Lang. Process. Tomohiko Nakamura, Hirokazu Kameoka
2021	—	`conf`	Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. EUSIPCO Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
2021	J	`jnl`	Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. CoRR Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani
2021	—	`conf`	Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. APSIPA ASC Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021	J	`jnl`	Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. CoRR Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo
2021	—	`conf`	Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. APSIPA ASC Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2021	J	`jnl`	Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. CoRR Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2021	—	`conf`	Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. EUSIPCO Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari
2021	J	`jnl`	Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. CoRR Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, Yuma Koizumi, Hiroshi Saruwatari
2021	—	`conf`	Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. APSIPA ASC Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino
2021	J	`jnl`	Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. CoRR Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino
2021	J	`jnl`	Time-Domain Audio Source Separation With Neural Networks Based on Multiresolution Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Tomohiko Nakamura, Shihori Kozuka, Hiroshi Saruwatari
2020	Misc	`conf`	Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. ICASSP Tomohiko Nakamura, Hiroshi Saruwatari
2020	J	`jnl`	Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. CoRR Tomohiko Nakamura, Hiroshi Saruwatari
2018	J	`jnl`	Winding Ratio Design of Transformer in Equivalent Circuit of Circular Patch Array Absorber. IEICE Trans. Electron. Ryosuke Suga, Tomohiko Nakamura, Daisuke Kitahara, Kiyomichi Araki, Osamu Hashimoto
2016	J	`jnl`	Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. IEEE ACM Trans. Audio Speech Lang. Process. Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
2016	Misc	`conf`	Shifted and convolutive source-filter non-negative matrix factorization for monaural audio source separation. ICASSP Tomohiko Nakamura, Hirokazu Kameoka
2015	Misc	`conf`	L ICASSP Tomohiko Nakamura, Hirokazu Kameoka
2015	J	`jnl`	Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. CoRR Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
2014	A	`conf`	A unified approach for underdetermined blind signal separation and source activity detection by multichannel factorial hidden Markov models. INTERSPEECH Takuya Higuchi, Hirofumi Takeda, Tomohiko Nakamura, Hirokazu Kameoka
2014	C	`conf`	Fast Signal Reconstruction from Magnitude Spectrogram of Continuous Wavelet Transform Based on Spectrogram Consistency. DAFx Tomohiko Nakamura, Hirokazu Kameoka
2014	—	`conf`	Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation. ISMIR Tomohiko Nakamura, Kotaro Shikata, Norihiro Takamune, Hirokazu Kameoka
2014	J	`jnl`	Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following. CoRR Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono, Shigeki Sagayama
2014	Misc	`conf`	Timbre replacement of harmonic and drum components for music audio signals. ICASSP Tomohiko Nakamura, Hirokazu Kameoka, Kazuyoshi Yoshii, Masataka Goto
2014	Misc	`conf`	Underdetermined blind separation and tracking of moving sources based ONDOA-HMM. ICASSP Takuya Higuchi, Norihiro Takamune, Tomohiko Nakamura, Hirokazu Kameoka
2011	—	`conf`	Bayesian nonparametric spectrogram modeling based on infinite factorial infinite hidden Markov model. WASPAA Masahiro Nakano, Jonathan Le Roux, Hirokazu Kameoka, Tomohiko Nakamura, Nobutaka Ono, Shigeki Sagayama
2004	C	`conf`	A design of category classification system for high resolution satellite. IGARSS Masanori Nakano, Kazi A. Kalpoma, Tomohiko Nakamura, Jun-ichi Kudoh
2004	Misc	`conf`	Improvement of Visual Customer Relationship Management System. IRI Tetsuo Hidaka, Tetsushi Morita, Tomohiko Nakamura, Morihide Oinuma, Yutaka Hirakawa
2003	C	`conf`	Three dimensional histogram technique for IKONOS images. IGARSS Jun-ichi Kudoh, Tomohiko Nakamura, S. Shikano, E. Kikuchi
1999	—	`conf`	Hierarchical-Clustering of Parametric Data with Application to the Parametric Eigenspace Method. ICIP (4) Toru Abe, Tomohiko Nakamura
1998	Misc	`conf`	Hierarchical Dictionary Constructing Method for the Parametric Eigenspace Method. MVA Toru Abe, Tomohiko Nakamura