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Journals (Peer-reviewed) / 査読付き論文誌

  1. Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, “Music bleeding-sound reduction based on time-channel nonnegative matrix factorization,” APSIPA Transactions on Signal and Information Processing, vol. 14, no. 1, e18, Jul. 2025.
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  2. Yuto Ishikawa, Tomohiko Nakamura, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, “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, vol. 13, pp. 88683–88706, May 2025.
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  3. Kanami Imamura, Tomohiko Nakamura, Kohei Yatabe, and Hiroshi Saruwatari, “Neural analog filter for sampling-frequency-independent convolutional layer,” APSIPA Transactions on Signal and Information Processing, vol. 13, no. 1, e28, Nov. 2024.
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  4. Takaaki Saeki, Shinnosuke Takamichi, Tomohiko Nakamura, Naoko Tanji, and Hiroshi Saruwatari, “SelfRemaster: Self-supervised speech restoration for historical audio resources,” IEEE Access, vol. 11, pp. 144831–144843, Jan. 2024.
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  5. Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, and Kazunobu Kondo, “PoP-IDLMA: Product-of-prior independent deeply learned matrix analysis for multichannel music source separation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 2680–2694, Jul. 2023.
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  6. Koichi Saito, Tomohiko Nakamura, Kohei Yatabe, and Hiroshi Saruwatari, “Sampling-frequency-independent convolutional layer and its application to audio source separation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 2928–2943, Sep. 2022.
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  7. Tomohiko Nakamura, Shihori Kozuka, and Hiroshi Saruwatari, “Time-domain audio source separation with neural networks based on multiresolution analysis,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 1687–1701, Apr. 2021.
    [The Itakura Prize Innovative Young Researcher Award / 第17回日本音響学会・独創研究奨励賞板倉記念]
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  8. Tomohiko Nakamura and Hirokazu Kameoka, “Harmonic-temporal factor decomposition for unsupervised monaural separation of harmonic sounds,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 68–82, Nov. 2020.
    bib slides poster demo code dataset
  9. Tomohiko Nakamura, Eita Nakamura, and Shigeki Sagayama, “Real-time audio-to-score alignment of music performances containing errors and arbitrary repeats and skips,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 2, pp. 329–339, Feb. 2016.
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  10. Tomohiko Nakamura, Yutaka Hori, and Shinji Hara, “Hierarchical modeling and local stability analysis for repressilators coupled by quorum sensing,” SICE Journal of Control, Measurement, and System Integration, vol. 7, no. 3, pp. 133–140, May 2014.
    [SICE Best Paper Award (Takeda Award) / 2015年計測自動制御学会 論文賞 (武田賞)]
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  11. Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono, and Shigeki Sagayama, “Outer-product type hidden Markov model and polyphonic MIDI score following,” Journal of New Music Research, vol. 43, pp. 183–201, Apr. 2014.
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