Hierarchical Dictionary Constructing Method for the Parametric Eigenspace Method. - Toru Abe; Tomohiko Nakamura (MVA, 1998)

Hierarchical-Clustering of Parametric Data with Application to the Parametric Eigenspace Method. - Toru Abe; Tomohiko Nakamura (ICIP (4), 1999)

Three dimensional histogram technique for IKONOS images. - Jun-ichi Kudoh; Tomohiko Nakamura; S. Shikano; E. Kikuchi (IGARSS, 2003)

A design of category classification system for high resolution satellite. - Masanori Nakano; Kazi A. Kalpoma; Tomohiko Nakamura; Jun-ichi Kudoh (IGARSS, 2004)

Improvement of Visual Customer Relationship Management System. - Tetsuo Hidaka; Tetsushi Morita; Tomohiko Nakamura; Morihide Oinuma; Yutaka Hirakawa (IRI, 2004)

Bayesian nonparametric spectrogram modeling based on infinite factorial infinite hidden Markov model. - Masahiro Nakano; Jonathan Le Roux; Hirokazu Kameoka; Tomohiko Nakamura; Nobutaka Ono; Shigeki Sagayama (WASPAA, 2011)

Fast Signal Reconstruction from Magnitude Spectrogram of Continuous Wavelet Transform Based on Spectrogram Consistency. - Tomohiko Nakamura; Hirokazu Kameoka (DAFx, 2014)

Underdetermined blind separation and tracking of moving sources based ONDOA-HMM. - Takuya Higuchi; Norihiro Takamune; Tomohiko Nakamura; Hirokazu Kameoka (ICASSP, 2014)

Timbre replacement of harmonic and drum components for music audio signals. - Tomohiko Nakamura; Hirokazu Kameoka; Kazuyoshi Yoshii; Masataka Goto (ICASSP, 2014)

A unified approach for underdetermined blind signal separation and source activity detection by multichannel factorial hidden Markov models. - Takuya Higuchi; Hirofumi Takeda; Tomohiko Nakamura; Hirokazu Kameoka (INTERSPEECH, 2014)

Harmonic-Temporal Factor Decomposition Incorporating Music Prior Information for Informed Monaural Source Separation. - Tomohiko Nakamura; Kotaro Shikata; Norihiro Takamune; Hirokazu Kameoka (ISMIR, 2014)

Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following. - Eita Nakamura; Tomohiko Nakamura; Yasuyuki Saito; Nobutaka Ono; Shigeki Sagayama (CoRR, 2014)

Lp-norm non-negative matrix factorization and its application to singing voice enhancement. - Tomohiko Nakamura; Hirokazu Kameoka (ICASSP, 2015)

Shifted and convolutive source-filter non-negative matrix factorization for monaural audio source separation. - Tomohiko Nakamura; Hirokazu Kameoka (ICASSP, 2016)

Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. - Tomohiko Nakamura; Eita Nakamura; Shigeki Sagayama (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Winding Ratio Design of Transformer in Equivalent Circuit of Circular Patch Array Absorber. - Ryosuke Suga; Tomohiko Nakamura; Daisuke Kitahara; Kiyomichi Araki; Osamu Hashimoto (IEICE Trans. Electron., 2018)

Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. - Tomohiko Nakamura; Hiroshi Saruwatari (ICASSP, 2020)

Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models. - Takuya Hasumi; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari; Daichi Kitamura; Yu Takahashi; Kazunobu Kondo (APSIPA ASC, 2021)

Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis. - Sota Misawa; Norihiro Takamune; Tomohiko Nakamura; Daichi Kitamura; Hiroshi Saruwatari; Masakazu Une; Shoji Makino (APSIPA ASC, 2021)

Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization. - Yusaku Mizobuchi; Daichi Kitamura; Tomohiko Nakamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (APSIPA ASC, 2021)

Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation. - Takuya Hasumi; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari; Daichi Kitamura; Yu Takahashi; Kazunobu Kondo (EUSIPCO, 2021)

Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation. - Naoki Narisawa; Rintaro Ikeshita; Norihiro Takamune; Daichi Kitamura; Tomohiko Nakamura; Hiroshi Saruwatari; Tomohiro Nakatani (EUSIPCO, 2021)

Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method. - Koichi Saito; Tomohiko Nakamura; Kohei Yatabe; Yuma Koizumi; Hiroshi Saruwatari (EUSIPCO, 2021)

Harmonic-Temporal Factor Decomposition for Unsupervised Monaural Separation of Harmonic Sounds. - Tomohiko Nakamura; Hirokazu Kameoka (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Time-Domain Audio Source Separation With Neural Networks Based on Multiresolution Analysis. - Tomohiko Nakamura; Shihori Kozuka; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds. - Masaya Kawamura; Tomohiko Nakamura; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (ICASSP, 2022)

SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling. - Takaaki Saeki; Shinnosuke Takamichi; Tomohiko Nakamura; Naoko Tanji; Hiroshi Saruwatari (INTERSPEECH, 2022)

Head-Related Transfer Function Interpolation From Spatially Sparse Measurements Using Autoencoder With Source Position Conditioning. - Yuki Ito; Tomohiko Nakamura; Shoichi Koyama; Hiroshi Saruwatari (IWAENC, 2022)

Physics-Informed Convolutional Neural Network with Bicubic Spline Interpolation for Sound Field Estimation. - Kazuhide Shigemi; Shoichi Koyama; Tomohiko Nakamura; Hiroshi Saruwatari (IWAENC, 2022)

Sampling-Frequency-Independent Convolutional Layer and its Application to Audio Source Separation. - Koichi Saito; Tomohiko Nakamura; Kohei Yatabe; Hiroshi Saruwatari (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides. - Kanami Imamura; Tomohiko Nakamura; Norihiro Takamune; Kohei Yatabe; Hiroshi Saruwatari (EUSIPCO, 2023)

jaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus. - Tomohiko Nakamura; Shinnosuke Takamichi; Naoko Tanji; Satoru Fukayama; Hiroshi Saruwatari (ICASSP, 2023)

How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics. - Joonyong Park; Shinnosuke Takamichi; Tomohiko Nakamura; Kentaro Seki; Detai Xin; Hiroshi Saruwatari (INTERSPEECH, 2023)

TimToShape: Supporting Practice of Musical Instruments by Visualizing Timbre with 2D Shapes based on Crossmodal Correspondences. - Kota Arai; Yutaro Hirao; Takuji Narumi; Tomohiko Nakamura; Shinnosuke Takamichi; Shigeo Yoshida (IUI, 2023)

SelfRemaster: Self-Supervised Speech Restoration for Historical Audio Resources. - Takaaki Saeki; Shinnosuke Takamichi; Tomohiko Nakamura; Naoko Tanji; Hiroshi Saruwatari (IEEE Access, 2023)

Sampling-Frequency-Independent Universal Sound Separation. - Tomohiko Nakamura; Kohei Yatabe (CoRR, 2023)

PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Music Source Separation. - Takuya Hasumi; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari; Daichi Kitamura; Yu Takahashi; Kazunobu Kondo (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Real-Time Noise Estimation for Lombard-Effect Speech Synthesis in Human-Avatar Dialogue Systems. - Yuto Ishikawa; Osamu Take; Tomohiko Nakamura; Norihiro Takamune; Yuki Saito 001; Shinnosuke Takamichi; Hiroshi Saruwatari (APSIPA, 2024)

Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation. - Yuto Ishikawa; Kohei Konaka; Tomohiko Nakamura; Norihiro Takamune; Hiroshi Saruwatari (ICASSP Workshops, 2024)

Neural Blind Source Separation and Diarization for Distant Speech Recognition. - Yoshiaki Bando; Tomohiko Nakamura; Shinji Watanabe 001 (INTERSPEECH, 2024)

Self-Supervised Speech Representations are More Phonetic than Semantic. - Kwanghee Choi; Ankita Pasad; Tomohiko Nakamura; Satoru Fukayama; Karen Livescu; Shinji Watanabe 001 (INTERSPEECH, 2024)

FruitsMusic: A Real-World Corpus of Japanese Idol-Group Songs. - Hitoshi Suda; Shunsuke Yoshida; Tomohiko Nakamura; Satoru Fukayama; Jun Ogata (ISMIR, 2024)

DNN-Based Ensemble Singing Voice Synthesis With Interactions Between Singers. - Hiroaki Hyodo; Shinnosuke Takamichi; Tomohiko Nakamura; Junya Koguchi; Hiroshi Saruwatari (SLT, 2024)

Physics-Informed Machine Learning For Sound Field Estimation. - Shoichi Koyama; Juliano G. C. Ribeiro; Tomohiko Nakamura; Natsuki Ueno; Mirco Pezzoli (CoRR, 2024)

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]. - Shoichi Koyama; Juliano G. C. Ribeiro; Tomohiko Nakamura; Natsuki Ueno; Mirco Pezzoli (IEEE Signal Process. Mag., 2024)

Discrete Speech Unit Extraction via Independent Component Analysis. - Tomohiko Nakamura; Kwanghee Choi; Keigo Hojo; Yoshiaki Bando; Satoru Fukayama; Shinji Watanabe 001 (ICASSP Workshops, 2025)

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. - Yuto Ishikawa; Tomohiko Nakamura; Norihiro Takamune; Daichi Kitamura; Hiroshi Saruwatari; Yu Takahashi; Kazunobu Kondo (IEEE Access, 2025)

Local Equivariance Error-Based Metrics for Evaluating Sampling-Frequency-Independent Property of Neural Network. - Kanami Imamura; Tomohiko Nakamura; Norihiro Takamune; Kohei Yatabe; Hiroshi Saruwatari (CoRR, 2025)

IdolSongsJp Corpus: A Multi-Singer Song Corpus in the Style of Japanese Idol Groups. - Hitoshi Suda; Junya Koguchi; Shunsuke Yoshida; Tomohiko Nakamura; Satoru Fukayama; Jun Ogata (CoRR, 2025)

Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer. - Go Nishikawa; Wataru Nakata; Yuki Saito 001; Kanami Imamura; Hiroshi Saruwatari; Tomohiko Nakamura (CoRR, 2025)

Hyperbolic Embeddings for Order-Aware Classification of Audio Effect Chains. - Aogu Wada; Tomohiko Nakamura; Hiroshi Saruwatari (CoRR, 2025)