発表文献

著書

  1. Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, and Hiroshi Saruwatari, "Determined blind source separation with independent low-rank matrix analysis," Audio Source Separation. Signals and Communication Technology., Shoji Makino, Ed. Springer, Cham, pp. 125–155, March 2018. (Springer Link)
  2. 北村大地, "Q11 ビームフォーミングって何ですか？," 音響学入門ペディア, 日本音響学会編, コロナ社, pp. 44–47, March 2017.

学術論文

  1. Shoya Kawaguchi and Daichi Kitamura, "Amplitude spectrogram prediction from mel-frequency cepstrum coefficients using deep neural networks," Journal of Signal Processing, vol. 27, no. 6, pp. 207-211, November 2023.
  2. 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, July 2023.
    (IEEE Xplore)
  3. Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction," EURASIP Journal on Advances in Signal Processing, vol. 2022, no. 88, 24 pages, September 2022. (EURASIP JASP)
  4. Yuta Iwase and Daichi Kitamura, "Supervised audio source separation based on nonnegative matrix factorization with cosine similarity penalty," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E105-A, no. 6, pp. 906–913, June 2022 (corresponding author). (IEICE, PDF, IEICE Transactions Online, Copyright (c) 2022 IEICE)
  5. Keigo Kamo, Yoshiki Mitsui, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Joint-diagonalizability-constrained multichannel nonnegative matrix factorization based on time-variant multivariate complex sub-Gaussian distribution," Signal Processing, vol. 188, 108183, November 2021 (corresponding author). (ELSEVIER)
  6. Fuga Oshima, Masaki Nakano, and Daichi Kitamura, "Interactive speech source separation based on independent low-rank matrix analysis," Acoustical Science and Technology, vol. 42, no. 4, pp. 222–225, July 2021 (corresponding author). (J-STAGE)
  7. Kohei Yatabe and Daichi Kitamura, "Determined BSS based on time-frequency masking and its application to harmonic vector analysis," IEEE/ACM Transaction on Audio, Speech, and Language Processing, vol. 29, pp. 1609–1625, April 2021. (IEEE Xplore)
  8. Akihito Aiba, Minoru Yoshida, Daichi Kitamura, Shinnosuke Takamichi, and Hiroshi Saruwatari, "Noise robust acoustic anomaly detection system with nonnegative matrix factorization based on generalized Gaussian distribution," IEICE Transactions on Information and Systems, vol. E104-D, no. 3, pp. 441–449, March 2021. (IEICE, PDF, IEICE Transactions Online, Copyright (c) 2021 IEICE)
  9. Naoki Makishima, Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Independent deeply learned matrix analysis with automatic selection of stable microphone-wise update and fast sourcewise update of demixing matrix," Signal Processing, vol. 178, 107753, January 2021 (corresponding author). (ELSEVIER)
  10. Daichi Kitamura and Kohei Yatabe, "Consistent independent low-rank matrix analysis for determined blind source separation," EURASIP Journal on Advances in Signal Processing, vol. 2020, no. 46, 35 pages, November 2020. (EURASIP JASP)
  11. Yuki Kubo, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Blind speech extraction based on rank-constrained spatial covariance matrix estimation with multivariate generalized Gaussian distribution," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 1948–1963, June 2020. (IEEE Xplore)
  12. Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Phase reconstruction from amplitude spectrograms based on directional-statistics deep neural networks," Signal Processing, vol. 169, 107368, April 2020. (ELSEVIER)
  13. Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, and Nobutaka Ono, "Independent low-rank matrix analysis based on time-variant sub-Gaussian source model for determined blind source separation," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 503–518, December 2019 (corresponding author). (IEEE Xplore)
  14. Yuki Mitsufuji, Stefan Uhlich, Norihiro Takamune, Daichi Kitamura, Shoichi Koyama, and Hiroshi Saruwatari, "Multichannel non-negative matrix factorization using banded spatial covariance matrices in wavenumber domain," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 49–60, October 2019. (IEEE Xplore)
  15. Naoki Makishima, Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hayato Sumino, Shinnosuke Takamichi, Hiroshi Saruwatari, and Nobutaka Ono, "Independent deeply learned matrix analysis for determined audio source separation," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 27, no. 10, pp. 1601–1615, October 2019. (IEEE Xplore)
  16. Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, and Nobutaka Ono, "Bilevel optimization using stationary point of lower-level objective function for discriminative basis learning in nonnegative matrix factorization," IEEE Signal Processing Letters, vol. 26, no. 6, pp. 818–822, June 2019. (IEEE Xplore)
  17. Hiroshi Sawada, Nobutaka Ono, Hirokazu Kameoka, Daichi Kitamura, and Hiroshi Saruwatari, "A review of blind source separation methods: Two converging routes to ILRMA originating from ICA and NMF," APSIPA Transactions on Signal and Information Processing, vol. 8, no. e12, pp. 1–14, May 2019. (APSIPA Trans. Signal and Info. Proc.)
  18. Shinichi Mogami, Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Hiroaki Nakajima, and Hirokazu Kameoka, "Independent low-rank matrix analysis based on generalized Kullback-Leibler divergence," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E102-A, no. 2, pp. 458–463, February 2019. (IEICE, PDF, IEICE Transactions Online, Copyright (c) 2019 IEICE)
  19. Daichi Kitamura, Shinichi Mogami, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, Nobutaka Ono, Yu Takahashi, and Kazunobu Kondo, "Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation," EURASIP Journal on Advances in Signal Processing, vol. 2018, no. 28, 25 pages, May 2018. (EURASIP JASP)
  20. Yoshiaki Bando, Hiroshi Saruwatari, Nobutaka Ono, Shoji Makino, Katsutoshi Itoyama, Daichi Kitamura, Masaru Ishimura, Moe Takakusaki, Narumi Mae, Kouei Yamaoka, Yutaro Matsui, Yuichi Ambe, Masashi Konyo, Satoshi Tadokoro, Kazuyoshi Yoshii, and Hiroshi G. Okuno, "Low-latency and high-quality two-stage human-voice-enhancement system for a hose-shaped rescue robot," Journal of Robotics and Mechatronics, vol. 29, no. 1, pp. 198–212, February 2017. (Fuji Technology Press Ltd.)
  21. Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, and Hiroshi Saruwatari, "Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 9, pp. 1626–1641, September 2016 (ACM Computing Reviews Annual Best of Computing Notable Books and Articles in Computing, IEEE SPS Japan Best Paper Award). (IEEE Xplore, Supporting document)
  22. Daichi Kitamura, Hiroshi Saruwatari, Hirokazu Kameoka, Yu Takahashi, Kazunobu Kondo, and Satoshi Nakamura, "Multichannel signal separation combining directional clustering and nonnegative matrix factorization with spectrogram restoration," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, no. 4, pp. 654–669, April 2015 (TAF The Telecom System Technology Student Award). (IEEE Xplore)
  23. Tomo Miyauchi, Daichi Kitamura, Hiroshi Saruwatari, and Satoshi Nakamura, "Depth estimation of sound images using directional clustering and activation-shared nonnegative matrix factorization," Journal of Signal Processing, vol. 18, no. 4, pp. 217–220, July 2014 (corresponding author). (J-STAGE)
  24. Daichi Kitamura, Hiroshi Saruwatari, Kosuke Yagi, Kiyohiro Shikano, Yu Takahashi, and Kazunobu Kondo, "Music signal separation based on supervised nonnegative matrix factorization with orthogonality and maximum-divergence penalties," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E97-A, no. 5, pp. 1113–1118, May 2014. (IEICE, PDF, IEICE Transactions Online, Copyright (c) 2014 IEICE)
  25. Masahiro Harazono, Daichi Kitamura, and Masashi Nakayama, "Humbucking pickup response excited by string vibration," Acoustical Science and Technology, vol. 33, no. 5, pp. 301–309, September 2012. (J-STAGE)

解説記事・査読無し招待論文

  1. 北村大地, "事前授業のオンデマンド配信を組み合わせた定期試験廃止型授業の設計," 日本高専学会誌, vol. 26, no. 2, pp. 9–14, April 2021. (PDF)
  2. Daichi Kitamura, "Nonnegative matrix factorization based on complex generative model," Acoustical Science and Technology, vol. 40, no. 3, pp. 155–161, May 2019. (J-STAGE)
  3. 北村大地, "複素生成モデルに基づく非負値行列因子分解と音源分離への応用," 日本音響学会誌, vol. 75, no. 3, pp. 130–138, March 2019.

査読有り国際会議原稿

  1. Takaaki Kojima, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Design of spectrogram-consistency regularization term dependent on observation in independent low-rank matrix analysis for blind source separation," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), pp. ???–???, Macau, China, December 2024.
  2. Sota Hirata, Norihiro Takamune, Kouei Yamaoka, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Auxiliary-function-based steering vector estimation method for spatially regularized independent low-rank matrix analysis," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2024), pp. ???–???, Macau, China, December 2024.
  3. Shoma Ayano, Li Li, Shogo Seki, and Daichi Kitamura, "Audio spotforming using nonnegative tensor factorization with attractor-based regularization," Proceedings of European Signal Processing Conference (EUSIPCO 2024), pp. 121–125, Lyon, France, August 2024.
  4. Kohei Ishii, Daichi Kitamura, and Taro Tokuda, "Properties of micro-strain in fingernail caused by pulsewave," Proceedings of The 46th Annual International Conference of The IEEE Engineering in Medicine and Biology Society (EMBC 2023), Orlando, Florida, July 2024.
  5. Sota Misawa, Norihiro Takamune, Kohei Yatabe, Daichi Kitamura, and Hiroshi Saruwatari, "Blind source separation using independent low-rank matrix analysis with spectrogram-consistency regularization," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023), pp. 1035–1042, Taipei, Taiwan, November 2023.
  6. Koki Nishida, Norihiro Takamune, Rintaro Ikeshita, Daichi Kitamura, Hiroshi Saruwatari, and Tomohiro Nakatani, "NoisyILRMA: Diffuse-noise-aware independent low-rank matrix analysis for fast blind source extraction," Proceedings of European Signal Processing Conference (EUSIPCO 2023), pp. 925–929, Helsinki, Finland, September 2023.
  7. Kohei Ishii, Daichi Kitamura, and Taro Tokuda, "Heart rate measurement based on micro-strain of nails," Proceedings of The 45th Annual International Conference of The IEEE Engineering in Medicine and Biology Society (EMBC 2023), Sydney, Australia, July 2023.
  8. Shoya Kawaguchi and Daichi Kitamura, "Amplitude spectrogram prediction from mel-frequency cepstrum coefficients and loudness using deep neural networks," Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2023), pp. 225–228, Hawaii, USA, March 2023.
  9. Fumiya Hasuike, Daichi Kitamura, and Rui Watanabe, "DNN-based frequency-domain permutation solver for multichannel audio source separation," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), pp. 872–877, Chiang Mai, Thailand, November 2022.
  10. Keito Murata, Daichi Kitamura, Daichi Ueki, and Ryo Saito, "Heart rate estimation of car driver using radar sensors and blind source separation," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), pp. 1157–1164, Chiang Mai, Thailand, November 2022.
  11. Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Differentialble digital signal processing mixture model for synthesis parameter extraction from mixture of harmonic sounds," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), pp. 941-945, Singapore, May 2022.
  12. Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Prior distribution design for music bleeding-sound reduction based on nonnegative matrix factorization," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), pp. 651–658, Tokyo, Japan, December 2021.
  13. Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, and Kazunobu Kondo, "Multichannel audio source separation with independent deeply learned matrix analysis using product of source models," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), pp. 1226–1233, Tokyo, Japan, December 2021.
  14. Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, and Shoji Makino, "Speech enhancement by noise self-supervised rank-constrained spatial covariance matrix estimation via independent deeply learned matrix analysis," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), pp. 578–584, Tokyo, Japan, December 2021.
  15. Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, and Kazunobu Kondo, "Empirical Bayesian independent deeply learned matrix analysis for multichannel audio source separation," Proceedings of European Signal Processing Conference (EUSIPCO 2021), pp. 331–335, Dublin, Ireland, August 2021.
  16. Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, and Tomohiro Nakatani, "Independent deeply learned tensor analysis for determined audio source separation," Proceedings of European Signal Processing Conference (EUSIPCO 2021), pp. 326–330, Dublin, Ireland, August 2021.
  17. Soichiro Oyabu, Daichi Kitamura, and Kohei Yatabe, "Linear multichannel blind source separation based on time-frequency mask obtained by harmonic/percussive sound separation," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), pp. 201–205, Toronto, Canada, June 2021.
  18. Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Deficient basis estimation of noise spatial covariance matrix for rank-constrained spatial covariance matrix estimation method in blind speech extraction," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), pp. 806–810, Toronto, Canada, June 2021.
  19. Rui Watanabe, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "DNN-based frequency component prediction for frequency-domain audio source separation," Proceedings of European Signal Processing Conference (EUSIPCO 2020), pp. 805–809, Amsterdam, Netherlands, January 2021.
  20. Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Joint-diagonalizability-constrained multichannel nonnegative matrix factorization based on multivariate complex sub-Gaussian distribution," Proceedings of European Signal Processing Conference (EUSIPCO 2020), pp. 890–894, Amsterdam, Netherlands, January 2021.
  21. Shuhei Yamaji and Daichi Kitamura, "DNN-based permutation solver for frequency-domain independent component analysis in two-source mixture case," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020), pp. 781–787, Auckland, New Zealand, December 2020.
  22. Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Joint-diagonalizability-constrained multichannel nonnegative matrix factorization based on multivariate complex Student's t-distribution," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020), pp. 869–874, Auckland, New Zealand, December 2020.
  23. Masakazu Une, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, and Shoji Makino, "Multichannel hearing-aid system based on basis-shared semi-supervised independent low-rank matrix analysis," Proceedings of Forum Acusticum, pp. 811–817, Lyon, France, December 2020.
  24. Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Regularized fast multichannel nonnegative matrix factorization with ILRMA-based prior distribution of joint-diagonalization process," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), pp. 606–610, Barcelona, Spain, May 2020.
  25. Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, and Tomohiro Nakatani, "Convergence-guaranteed independent positive semidefinite tensor analysis based on Student's t distribution," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), pp. 681–685, Barcelona, Spain, May 2020.
  26. Naoki Makishima, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Robust demixing filter update algorithm based on microphone-wise coordinate descent for independent deeply learned matrix analysis," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019), pp. 1868–1873, Lanzhou, China, November 2019.
  27. Yuki Kubo, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019), pp. 332–338, Lanzhou, China, November 2019.
  28. Masakazu Une, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, and Shoji Makino, "Evaluation of multichannel hearing aid system using rank-constrained spatial covariance matrix estimation," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2019), pp. 1874–1879, Lanzhou, China, November 2019.
  29. Naoki Makishima, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Column-wise update algorithm for independent deeply learned matrix analysis," Proceedings of International Congress on Acoustics (ICA 2019), pp. 2805–2812, Aachen, Germany, September 2019.
  30. Yuki Kubo, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Efficient full-rank spatial covariance estimation using independent low-rank matrix analysis for blind source separation," Proceedings of European Signal Processing Conference (EUSIPCO 2019), A Coruña, Spain, September 2019.
  31. Naoki Makishima, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, and Hiroaki Nakajima, "Generalized-Gaussian-distribution-based independent deeply learned matrix analysis for multichannel audio source separation," Proceedings of International Congress and Exhibition on Noise Control Engineering (INTERNOISE 2019), Madrid, Spain, June 2019.
  32. Kohei Yatabe and Daichi Kitamura, "Time-frequency-masking-based determined BSS with application to sparse IVA," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), pp. 715–719, Brighton, U.K., May 2019.
  33. Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo, Hiroaki Nakajima, and Nobutaka Ono, "Independent low-rank matrix analysis based on time-variant sub-Gaussian source model," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2018), pp. 1684–1691, November 2018 (Best Paper Award).
  34. Masakazu Une, Yuki Saito, Shinnosuke Takamichi, Daichi Kitamura, Ryoichi Miyazaki, and Hiroshi Saruwatari, "Generative approach using the noise generation models for DNN-based speech synthesis trained from noisy speech," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2018), pp. 340–344, November 2018 (Invited Special Session).
  35. Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, and Hiroshi Saruwatari, "Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network," Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC 2018), pp. 286–290, Tokyo, Japan, September 2018.
  36. Shinichi Mogami, Hayato Sumino, Daichi Kitamura, Norihiro Takamune, Shinnosuke Takamichi, Hiroshi Saruwatari, and Nobutaka Ono, "Independent deeply learned matrix analysis for multichannel audio source separation," Proceedings of European Signal Processing Conference (EUSIPCO 2018), pp. 1571–1575, Roma, Italy, September 2018.
  37. Kohei Yatabe and Daichi Kitamura, "Determined blind source separation via proximal splitting algorithm," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), pp. 776–780, Calgary, Canada, April 2018. (Preprint PDF)
  38. Yoshiki Mitsui, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Vectorwise coordinate descent algorithm for spatially regularized independent low-rank matrix analysis," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), pp. 746–750, Calgary, Canada, April 2018.
  39. Narumi Mae, Koei Yamaoka, Yoshiki Mitsui, Mitsuo Matsumoto, Shoji Makino, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada, and Hiroshi Saruwatari, "Ego noise reduction and sound localization adapted to human ears using hose-shaped rescue robot," Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2018), pp. 371–374, Hawaii, USA, March 2018.
  40. Moe Takakusaki, Daichi Kitamura, Nobutaka Ono, Shoji Makino, Takeshi Yamada, and Hiroshi Saruwatari, "Ego-noise reduction for hose-shaped rescue robot using basis-shared semi-supervised independent low-rank matrix analysis," Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2018), pp. 351–354, Hawaii, USA, March 2018 (Student Paper Award).
  41. Narumi Mae, Yoshiki Mitsui, Shoji Makino, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada, and Hiroshi Saruwatari, "Sound source localization using binaural different for hose-shaped rescue robot," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017), Kuala Lumpur, Malaysia, December 2017.
  42. Yoshiki Mitsui, Daichi Kitamura, Norihiro Takamune, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Independent low-rank matrix analysis based on parametric majorization-equalization algorithm," Proceedings of IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), pp. 98–102, Curaçao, Dutch Antilles, December 2017.
  43. Shinichi Mogami, Daichi Kitamura, Yoshiki Mitsui, Norihiro Takamune, Hiroshi Saruwatari, and Nobutaka Ono, "Independent low-rank matrix analysis based on complex Student's t-distribution for blind audio source separation," Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan, September 2017.
  44. Daichi Kitamura, Nobutaka Ono, and Hiroshi Saruwatari, "Experimental analysis of optimal window length for independent low-rank matrix analysis," Proceedings of European Signal Processing Conference (EUSIPCO 2017), pp. 1210–1214, Kos, Greece, August 2017 (Invited Special Session). (PDF, Slide)
  45. Yoshiki Mitsui, Daichi Kitamura, Shinnosuke Takamichi, Nobutaka Ono, and Hiroshi Saruwatari, "Blind source separation based on independent low-rank matrix analysis with sparse regularization for time-series activity," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 21–25, New Orleans, U.S.A., March 2017 (ICASSP Student Paper Contest Finalist, IEEE SPS Japan Student Conference Paper Award).
  46. Antoine Liutkus, Fabian-Robert Stöter, Zafar Rafii, Daichi Kitamura, Bertrand Rivet, Nobutaka Ito, Nobutaka Ono, and Julie Fontecave, "The 2016 signal separation evaluation campaign," Proceedings of International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), pp. 323–332, Grenoble, France, February 2017. (Springer Link, PDF)
  47. Narumi Mae, Masaru Ishimura, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada, Shoji Makino, and Hiroshi Saruwatari, "Ego noise reduction for hose-shaped rescue robot combining independent low-rank matrix analysis and multichannel noise cancellation," Proceedings of International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), pp. 141–151, Grenoble, France, February 2017. (Springer Link)
  48. Narumi Mae, Daichi Kitamura, Masaru Ishimura, Takeshi Yamada, and Shoji Makino, "Ego noise reduction for hose-shaped rescue robot combining independent low-rank matrix analysis and noise cancellation," Proceedings of Asia-Pacific Signal and Information Process Processing Association Annual Summit and Conference (APSIPA ASC 2016), Jeju, Korea, December 2016. (IEEE Xplore)
  49. Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation," Proceedings of Asia-Pacific Signal and Information Process Processing Association Annual Summit and Conference (APSIPA ASC 2016), Jeju, Korea, December 2016. (IEEE Xplore)
  50. Daichi Kitamura and Nobutaka Ono, "Efficient initialization for nonnegative matrix factorization based on nonnegative independent component analysis," Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC 2016), Xi'an, China, September 2016 (IWAENC Student Paper Competition Finalist). (IEEE Xplore, Slide)
  51. Daichi Kitamura, Nobutaka Ono, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Discriminative and reconstructive basis training for audio source separation with semi-supervised nonnegative matrix factorization," Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC 2016), Xi'an, China, September 2016. (IEEE Xplore, Poster)
  52. Moe Takakusaki, Daichi Kitamura, Nobutaka Ono, Takeshi Yamada, Shoji Makino, and Hiroshi Saruwatari, "Ego-noise reduction for a hose-shaped rescue robot using determined rank-1 multichannel nonnegative matrix factorization," Proceedings of International Workshop on Acoustic Signal Enhancement (IWAENC 2016), Xi'an, China, September 2016. (IEEE Xplore)
  53. Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari, Nobutaka Ono, Yu Takahashi, and Kazunobu Kondo, "Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation," Proceedings of European Signal Processing Conference (EUSIPCO 2016), pp.1143–1147, Budapest, Hungary, August 2016. (PDF, Poster)
  54. Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, and Hiroshi Saruwatari, "Relaxation of rank-1 spatial constraint in overdetermined blind source separation," Proceedings of European Signal Processing Conference (EUSIPCO 2015), pp. 1271–1275, Nice, France, August 2015 (Invited Special Session). (PDF, Slide)
  55. Nobutaka Ono, Zafar Rafii, Daichi Kitamura, Nobutaka Ito, and Antoine Liutkus, "The 2015 signal separation evaluation campaign," Proceedings of International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Liberec, Czech, August 2015. (ACM Digital Library, PDF)
  56. Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, and Hiroshi Saruwatari, "Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 276–280, Brisbane, Australia, April 2015 (IEEE SPS Japan Student Conference Paper Award). (IEEE Xplore, Poster)
  57. Yuki Murota, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari, and Satoshi Nakamura, "Statistical modeling of binaural signal and its application to binaural source separation," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 494–498, Brisbane, Australia, April 2015. (IEEE Xplore)
  58. Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo, and Hirokazu Kameoka, "Hybrid multichannel signal separation using supervised nonnegative matrix factorization with spectrogram restoration," Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2014), Siem Reap, Cambodia, December 2014 (Invited Special Session). (IEEE Xplore, Slide)
  59. Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo, and Hirokazu Kameoka, "Divergence optimization in nonnegative matrix factorization with spectrogram restoration for multichannel signal separation," Proceedings of Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA 2014), pp. 92–96, Nancy, France, May 2014. (IEEE Xplore, Slide)
  60. Yuki Murota, Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, and Kazunobu Kondo, "Music signal separation based on Bayesian spectral amplitude estimator with automatic target prior adaptation," Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), pp. 7540–7544, Florence, Italy, May 2014. (IEEE Xplore, Poster)
  61. Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo, and Hirokazu Kameoka, "Online divergence switching for superresolution-based nonnegative matrix factorization," Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2014), pp. 485–488, Hawaii, U.S.A., March 2014 (NCSP Student Paper Award). (Slide)
  62. Tomo Miyauchi, Daichi Kitamura, Hiroshi Saruwatari, and Satoshi Nakamura, "Depth estimation of sound images using directional clustering and activation-shared nonnegative matrix factorization," Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP 2014), pp. 437–440, Hawaii, U.S.A., March 2014 (NCSP Student Paper Award). (Slide)
  63. Daichi Kitamura, Hiroshi Saruwatari, Kosuke Yagi, Kiyohiro Shikano, Yu Takahashi, and Kazunobu Kondo, "Robust music signal separation based on supervised nonnegative matrix factorization with prevention of basis sharing," Proceedings of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2013), pp. 392–397, Athens, Greece, December 2013. (IEEE Xplore, Slide)
  64. Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, and Yu Takahashi, "Music signal separation by supervised nonnegative matrix factorization with basis deformation," Proceedings of IEEE International Conference on Digital Signal Processing (DSP 2013), Santorini, Greece, July 2013. (IEEE Xplore, Poster)
  65. Daichi Kitamura, Hiroshi Saruwatari, Yusuke Iwao, Kiyohiro Shikano, Kazunobu Kondo, and Yu Takahashi, "Superresolution-based stereo signal separation via supervised nonnegative matrix factorization," Proceedings of IEEE International Conference on Digital Signal Processing (DSP 2013), Santorini, Greece, July 2013. (IEEE Xplore, Slide)
  66. Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, and Yu Takahashi, "Regularized superresolution-based binaural signal separation with nonnegative matrix factorization," Proceedings of International Conference on 3D Systems and Applications (3DSA 2013), Osaka, Japan, June 2013. (PDF, Slide)

査読無し国内会議原稿

  1. 平田爽太, 高宗典玄, 山岡洸瑛, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "空間正則化付き独立低ランク行列分析のための補助関数型ステアリングベクトル推定法," 日本音響学会 2024年秋季研究発表会講演論文集, 1-11-1, pp. 109–112, Osaka, September 2024.
  2. 児島孝明, 高宗典玄, 北村大地, 猿渡洋, "スペクトログラム無矛盾性に基づく正則化付き独立低ランク行列分析の実験的評価," 日本音響学会 2024年秋季研究発表会講演論文集, 1-11-2, pp. 113–116, Osaka, September 2024.
  3. 綾野翔馬, 李莉, 関翔悟, 北村大地, "基底自動分配のための正則化を用いた非負値テンソル因子分解によるスポットフォーミング," 日本音響学会 2024年秋季研究発表会講演論文集, 1-11-6, pp. 129–132, Osaka, September 2024.
  4. 蓮池郁也, 北村大地, "深層パーミュテーション解決法に基づくブラインド音源分離の性能評価," 日本音響学会 2024年秋季研究発表会講演論文集, 1-R-25, pp. 235–238, Osaka, September 2024.
  5. 川口翔也, 北村大地, "音響特徴量からのDNNスペクトログラム予測の主観評価," 日本音響学会 2024年秋季研究発表会講演論文集, 1-R-35, pp. 261–262, Osaka, September 2024.
  6. 児島孝明, 池下林太郎, 高宗典玄, 北村大地, 猿渡洋, 中谷智広, "周波数領域優決定音源分離の分離性能とスペクトログラム無矛盾性の度合いの関係の理論的考察と実験的評価," 日本音響学会 2024年春季研究発表会講演論文集, 1-R-43, pp. 209–212, Tokyo, March 2024.
  7. 綾野翔馬, 李莉, 関翔悟, 北村大地, "非負値テンソル因子分解に基づく分散マイクアレイを用いたスポットフォーミング," 日本音響学会 2024年春季研究発表会講演論文集, 1-R-14, pp. 137–140, Tokyo, March 2024.
  8. 石川悠人, 大久保拓哉, 高宗典玄, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸, "独立低ランク行列分析における反復射影法の高速化・安定化アルゴリズム," 日本音響学会 2024年春季研究発表会講演論文集, 1-4-7, pp. 87–90, Tokyo, March 2024.
  9. 石川悠人, 大久保拓哉, 高宗典玄, 中村友彦, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "空間正則化付き独立低ランク行列分析におけるベクトルワイズ座標降下法の高速化・安定化アルゴリズム," 電子情報通信学会 技術研究報告, EA2023-68, vol. 123, no. 403, pp. 43–50, Okinawa, February 2024.
  10. 西田光佑, 植野夏樹, 小野順貴, 北村大地, "非負値行列因子分解を用いた音光変換デバイス「ブリンキー」の光信号飽和時における伝達係数と信号の同時推定," 電子情報通信学会 技術研究報告, EA2023-65, vol. 123, no. 403, pp. 25–30, Okinawa, February 2024.
  11. 児島孝明, 高宗典玄, 三澤颯大, 北村大地, 猿渡洋, "スペクトログラム無矛盾性に基づく観測信号依存正則化付き独立低ランク行列分析を用いた多チャネルブラインド音源分離," 電子情報通信学会 技術研究報告, EA2023-51, vol. 123, no. 322, pp. 13–20, Fukuoka, December 2023.
  12. 松本愛花, 北村大地, 猿渡洋, 高宗典玄, 高橋祐, 近藤多伸, "被り音混合系における音源分離のための伝達関数の解析," 第26回 日本音響学会関西支部 若手研究者交流研究発表会, p. 20, Osaka, December 2023.
  13. 和気佑弥, 北村大地, "正則化非負値行列因子分解によるスペクトログラム補完," 第26回 日本音響学会関西支部 若手研究者交流研究発表会, p. 18, Osaka, December 2023.
  14. 北村大地, 佐々木蓮, 曽我部琉生, 杉田透真, 武上夕駕, "ギターアンプ名機「JC-120」のフラット周波数設定の実験的調査," 第26回 日本音響学会関西支部 若手研究者交流研究発表会, p. 18, Osaka, December 2023.
  15. 鈴木慶, 北村大地, "単一話者の発話区間率とブラインド音源分離性能の関係の調査," 第26回 日本音響学会関西支部 若手研究者交流研究発表会, p. 17, Osaka, December 2023.
  16. 加藤大輝, 川口翔也, 北村大地, "ブラインド音源分離のための単一話者発話区間検出," 第26回 日本音響学会関西支部 若手研究者交流研究発表会, p. 17, Osaka, December 2023.
  17. 樋口裕季, 山田宏樹, 矢田部浩平, 北村大地, "時間周波数表現の冗長度による独立成分分析の信号分離性能の変化," 日本音響学会 2023年秋季研究発表会講演論文集, 1-R-29, pp. 281–282, Nagoya, September 2023.
  18. 北村大地, 岸本麗央, "STEM教育を目的とした二重振り子の簡易軌跡推定," 令和5年度電気・電子・情報関係学会四国支部連合大会講演論文集, p. 96, Takamatsu, September 2023.
  19. 綾野翔馬, 北村大地, 矢田部浩平, "時間微分スペクトログラムを用いたブラインド音源分離," 令和5年度電気・電子・情報関係学会四国支部連合大会講演論文集, p. 95, Takamatsu, September 2023.
  20. 北村大地, 中村友彦, "音源分離技術の基礎と応用～音源分離ﾁｮｯﾄﾜｶﾙになるための手引き～," 情報処理学会 第137回音楽情報科学研究会, vol. 2023-MUS-137 no. 35, Tokyo, June 2023 (招待講演).
  21. 三澤颯大, 高宗典玄, 矢田部浩平, 北村大地, 猿渡洋, "多チャネル音源分離のための独立低ランク行列分析に対するスペクトログラム無矛盾性に基づく正則化項の設計," 電子情報通信学会 技術研究報告, EA2022-105, vol. 122, no. 387, pp. 177–184, Okinawa, March 2023.
  22. 蓮池郁也, 北村大地, 渡辺瑠伊, 川口翔也, "周波数双方向再帰に基づく深層パーミュテーション解決法," 電子情報通信学会 第37回信号処理シンポジウム, A13-2, pp. 308–313, Niigata, December 2022.
  23. 唐渡昂希, 北村大地, "ギタータブ譜からのギターリフ抽出アルゴリズムの検討," 第25回 日本音響学会関西支部 若手研究者交流研究発表会, p. 11, Kyoto, November 2022.
  24. 川口翔也, 北村大地, "双方向LSTMによるラウドネス及びMFCCからの振幅スペクトログラム予測と評価," 日本音響学会 2022年秋季研究発表会講演論文集, 1-1-16, pp. 1471–1474, Hokkaido, September 2022.
  25. 溝渕悠朔, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸, "時間チャネル非負値行列因子分解を用いた被り音抑圧における初期値頑健性の比較," 日本音響学会 2022年秋季研究発表会講演論文集, 1-Q-29, pp. 351–354, Hokkaido, September 2022.
  26. 蓮池郁也, 北村大地, 渡辺瑠伊, "深層パーミュテーション解決法の汎化性能に関する実験的評価," 日本音響学会 2022年秋季研究発表会講演論文集, 1-Q-28, pp. 347–350, Hokkaido, September 2022.
  27. 西田光輝, 高宗典玄, 北村大地, 猿渡洋, 池下林太郎, 中谷智広, "拡散性雑音をモデル化した独立低ランク行列分析における一般化固有値問題の解法に基づく高速化," 日本音響学会 2022年秋季研究発表会講演論文集, 1-2-3, pp. 161–164, Hokkaido, September 2022.
  28. 川村真也, 中村友彦, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "混合Differentiable Digital Signal Processingモデルによる合成パラメータ抽出のためのラウドネスの時間変動に基づくロス関数の設計," 日本音響学会 2022年秋季研究発表会講演論文集, 2-2-3, pp. 183–186, Hokkaido, September 2022.
  29. 村田佳斗, 北村大地, 齋藤諒, 植木大地, "レーダセンサと信号源分離アルゴリズムを用いた運転者の心拍推定," 電子情報通信学会 第35回回路とシステムワークショップ, pp. 96–101, Kyushu, August 2022 (査読有り).
  30. 川口翔也, 北村大地, "双方向RNNによるMFCC及びラウドネスからの振幅スペクトログラム予測," 情報処理学会 第134回音楽情報科学研究会, vol. 2022-MUS-134, no. 60, pp. 1–6, Online, June 2022.
  31. 蓮池郁也, 渡辺瑠伊, 北村大地, "深層ニューラルネットワークに基づくパーミュテーション解決法の基礎的検討," 電子情報通信学会 技術研究報告, EA2022-13, vol. 122, no. 20, pp. 62–67, Online, May 2022.
  32. 細谷泰稚, 北村大地, 矢田部浩平, "解像度の異なる複数の時間周波数表現を用いた独立低ランク行列分析," 日本音響学会 2022年春季研究発表会講演論文集, 1-1P-2, pp. 307–310, Online, March 2022.
  33. 川村真也, 中村友彦, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "混合Differentiable DSPモデルによる混合楽器音からの合成パラメータ抽出の実験的評価," 日本音響学会 2022年春季研究発表会講演論文集, 1-1-7, pp. 177–180, Online, March 2022.
  34. 渡辺瑠伊, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸, "深層学習に基づく周波数帯域予測による高速音源分離法の実験的評価," 第24回 日本音響学会関西支部 若手研究者交流研究発表会, p. 15, Online, December 2021.
  35. 岩瀬佑太, 北村大地, "コサイン類似度罰則条件付き非負値行列因子分解に基づく音源分離の仮説検定," 第24回 日本音響学会関西支部 若手研究者交流研究発表会, pp. 33, Online, December 2021.
  36. 北村大地, 多田敏貴, 小河晃太朗, 寺尾美菜子, 竹中一馬, "独立成分分析に基づく信号源分離精度の予測," 令和3年度電気・電子・情報関係学会四国支部連合大会講演論文集, p. 64, Online, September 2021.
  37. 溝渕悠朔, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸, "非負値行列因子分解を用いた被り音の抑圧," 情報処理学会 第132回音楽情報科学研究会（夏のシンポジウム）, vol. 2021-MUS-132, no. 24, pp. 1–8, Online, September 2021.
  38. 川村真也, 中村友彦, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "楽譜情報を援用した音楽音響信号に対する混合Differentiable DSPモデルの合成パラメータ推定," 情報処理学会 第132回音楽情報科学研究会（夏のシンポジウム）, vol. 2021-MUS-132, no. 22, pp. 1–7, Online, September 2021.
  39. 近藤祐斗, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "多変量一般化Gauss分布に基づくランク制約付き空間共分散行列推定法における雑音欠落ランク空間基底推定," 日本音響学会 2021年秋季研究発表会講演論文集, 1-1-10, pp. 143–146, Online, September 2021.
  40. 渡辺瑠伊, 北村大地, 中村友彦, 猿渡洋, 高橋祐, 近藤多伸, "深層学習に基づく間引きインジケータ付き周波数帯域補間手法による音源分離処理の高速化," 日本音響学会 2021年秋季研究発表会講演論文集, 1-1-14, pp. 155–158, Online, September 2021.
  41. 蓮実拓也, 中村友彦, 高宗典玄, 猿渡洋, 北村大地, 高橋祐, 近藤多伸, "Product of Priors型確率分布を導入した音源モデルに基づく独立深層学習行列分析による多チャネル音源分離," 日本音響学会 2021年秋季研究発表会講演論文集, 1-1-16, pp. 163–166, Online, September 2021.
  42. 三澤颯大, 中村友彦, 高宗典玄, 北村大地, 猿渡洋, "独立深層学習行列分析を用いたランク制約付き空間共分散行列推定による音声強調," 日本音響学会 2021年秋季研究発表会講演論文集, 2-1P-1, pp. 279–280, Online, September 2021.
  43. 岩瀬佑太, 北村大地, "コサイン類似度罰則条件付き非負値行列因子分解に基づく音源分離の実験的評価," 日本音響学会 2021年秋季研究発表会講演論文集, 2-1P-4, pp. 287–290, Online, September 2021.
  44. 成澤直輝, 池下林太郎, 高宗典玄, 北村大地, 中村友彦, 猿渡洋, 中谷智広, "ヘビーテイル生成モデルに基づく独立深層学習テンソル分析," 日本音響学会 2021年秋季研究発表会講演論文集, 2-1P-9, pp. 301–304, Online, September 2021.
  45. 上髙正寛, 林和彦, 長谷川雄基, 松本将之, 北村大地, 吉岡崇, 宇野洋志城, "コンクリートにおける衝撃弾性波到達時刻同定の計算手法の検討," 令和3年度⼟⽊学会全国⼤会第76回年次学術講演会, V-324, Online, September 2021.
  46. 北村大地, "独立低ランク行列分析に基づく音源分離とその発展," 電子情報通信学会 技術研究報告, SIP2021-32, vol. 121, no. 144, pp. 19–24, Online, August 2021 (招待講演). (PDF, IEICE Transactions Online, Copyright (c) 2021 IEICE, Slide).
  47. 北村大地, 香西海斗, "基底共有型非負値行列因子分解を用いた楽器音の音色変換," 情報処理学会 第131回音楽情報科学研究会, vol. 2021-MUS-131, no. 10, pp. 1-6, Online, June 2021 (音学シンポジウム優秀発表賞).
  48. 蓮実拓也, 中村友彦, 高宗典玄, 猿渡洋, 北村大地, 高橋祐, 近藤多伸, "非負値行列因子分解を導入したproduct of experts型音源モデルに基づく独立深層学習行列分析による多チャネル音源分離," 情報処理学会 第131回音楽情報科学研究会, vol. 2021-MUS-131, no. 10, pp. 1-8, Online, June 2021.
  49. 成澤直輝, 池下林太郎, 高宗典玄, 北村大地, 中村友彦, 猿渡洋, 中谷智広, "独立深層学習テンソル分析に基づく多チャネル音源分離," 日本音響学会 2021年春季研究発表会講演論文集, 1-1-1, pp. 117–120, Tokyo, March 2021.
  50. 北村大地, 矢田部浩平, "スペクトログラム無矛盾性を用いた独立低ランク行列分析の実験的評価," 日本音響学会 2021年春季研究発表会講演論文集, 1-1-2, pp. 121–124, Tokyo, March 2021.
  51. 近藤祐斗, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "ランク制約付き空間共分散行列推定法における補助関数法に基づく雑音欠落ランク空間基底に対する新しい更新則," 日本音響学会 2021年春季研究発表会講演論文集, 1-1-6, pp. 137–140, Tokyo, March 2021.
  52. 香西海斗, 北村大地, "基底共有型非負値行列因子分解に基づく楽器音の共通・固有成分の分析," 日本音響学会 2021年春季研究発表会講演論文集, 1-9-2, pp. 1109–1112, Tokyo, March 2021.
  53. 渡辺瑠伊, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "深層学習に基づく周波数帯域補間手法による音源分離処理の高速化," 日本音響学会 2021年春季研究発表会講演論文集, 2-1-3, pp. 213–216, Tokyo, March 2021.
  54. 蓮実拓也, 中村友彦, 高宗典玄, 猿渡洋, 北村大地, 高橋祐, 近藤多伸, "経験ベイズ独立深層学習行列分析による多チャネル音源分離," 日本音響学会 2021年春季研究発表会講演論文集, 2-1-4, pp. 217–220, Tokyo, March 2021.
  55. 近藤樹, 高宗典玄, 北村大地, 猿渡洋, 池下林太郎, 中谷智広, "スタガードモデル化三重対角型共分散行列を用いた独立半正定値テンソル分析によるブラインド音源分離," 日本音響学会 2021年春季研究発表会講演論文集, 2-1-15, pp. 257–260, Tokyo, March 2021.
  56. 加茂佳吾, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "多変量複素Sub-Gauss分布に基づく同時対角化制約付き多チャネル非負値行列因子分解におけるmajorization-equalizationアルゴリズムを用いた更新則," 日本音響学会 2021年春季研究発表会講演論文集, 2-1-16, pp. 261–264, Tokyo, March 2021.
  57. 大藪宗一郎, 北村大地, 矢田部浩平, "メディアン型HPSSを用いた時間周波数マスクに基づくブラインド音源分離," 日本音響学会 2021年春季研究発表会講演論文集, 2-1Q-18, pp. 411–414, Tokyo, March 2021.
  58. 梶谷奈未, 北村大地, 石井耕平, "付け爪型センサを用いたケプストラム分析及びMUSIC法に基づく心拍推定," 電子情報通信学会 第35回信号処理シンポジウム, A1-4, pp. 5–10, Kochi, November 2020.
  59. 渡辺瑠伊, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "深層学習に基づく音響帯域拡張による音源分離処理の高速化," 日本音響学会 2020年秋季研究発表会講演論文集, 1-1-7, pp. 131–134, Miyagi, September 2020.
  60. 近藤祐斗, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "ブラインド音声抽出のためのランク制約付き空間相関行列推定法における雑音欠落ランク空間基底推定," 日本音響学会 2020年秋季研究発表会講演論文集, 1-1-8, pp. 135–138, Miyagi, September 2020.
  61. 加茂佳吾, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "多変量複素Sub-Gauss分布に基づく同時対角化制約付き多チャネル非負値行列因子分解の様々な残響条件下における実験的評価," 日本音響学会 2020年秋季研究発表会講演論文集, 1-1-11, pp. 147–150, Miyagi, September 2020.
  62. 山地修平, 北村大地, "局所時間周波数構造に基づく深層パーミュテーション解決法の実験的評価," 日本音響学会 2020年秋季研究発表会講演論文集, 2-R1-5, pp. 265–268, Miyagi, September 2020.
  63. 大島風雅, 中野将生, 北村大地, "ユーザーからの補助情報を用いる独立低ランク行列分析," 日本音響学会 2020年秋季研究発表会講演論文集, 2-R1-6, pp. 269–272, Miyagi, September 2020.
  64. 大藪宗一郎, 北村大地, 矢田部浩平, "調波打撃音分離の排他的マスキングに基づくブラインド音源分離," 日本音響学会 2020年秋季研究発表会講演論文集, 2-R2-11, pp. 283–286, Miyagi, September 2020.
  65. 豊島直, 北村大地, 矢田部浩平, "スペクトログラム無矛盾性を用いた独立低ランク行列分析," 日本音響学会 2020年秋季研究発表会講演論文集, 2-R2-13, pp. 291–294, Miyagi, September 2020.
  66. 成澤直輝, 高宗典玄, 北村大地, 中村友彦, 猿渡洋, "音源分離のための周波数間相関を考慮した多変量複素Gauss分布に基づく深層学習による分散共分散行列推定の検討," 日本音響学会 2020年秋季研究発表会講演論文集, 3-U1-5, pp. 315–318, Miyagi, September 2020.
  67. 上髙正寛, 林和彦, 長谷川雄基, 松本将之, 北村大地, 吉岡崇, 宇野洋志城, "打撃装置を用いた衝撃弾性波法によるコンクリートの品質評価に関する研究," 令和2年度土木学会四国支部技術研究発表会, jsce7-136-2020, Kagawa, May 2020.
  68. 向井しのぶ, 北村大地, "論理回路設計実習におけるアイデアソンを用いたFPGAによる自由制作の試み," 実験・実習技術研究会2020, P1-05, p. 116, Kagoshima, March 2020.
  69. 岩瀬佑太, 北村大地, "コサイン類似度罰則条件付き半教師あり非負値行列因子分解," 日本音響学会 2020年春季研究発表会講演論文集, 2-P-39, pp. 425–428, Saitama, March 2020.
  70. 大藪宗一郎, 北村大地, 矢田部浩平, "調波打撃音分離の時間周波数マスクを用いた線形ブラインド音源分離," 日本音響学会 2020年春季研究発表会講演論文集, 3-1-16, pp. 313–316, Saitama, March 2020.
  71. 中野将生, 北村大地, "ユーザーからの補助情報を用いるインタラクティブ音源分離システム," 日本音響学会 2020年春季研究発表会講演論文集, 2-P-38, pp. 421–424, Saitama, March 2020.
  72. 渡辺瑠伊, 北村大地, "音源分離のための深層学習に基づく音響帯域拡張," 日本音響学会 2020年春季研究発表会講演論文集, 1-1-23, pp. 221–224, Saitama, March 2020.
  73. 山地修平, 北村大地, "局所時間周波数構造に基づく深層パーミュテーション解決法," 日本音響学会 2020年春季研究発表会講演論文集, 3-1-17, pp. 317–320, Saitama, March 2020.
  74. 牧島直輝, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "独立深層学習行列分析におけるマイクロホン毎及び音源毎の座標降下法に基づく分離行列更新法の周波数別自動選択法," 日本音響学会 2020年春季研究発表会講演論文集, 3-1-18, pp. 321–324, Saitama, March 2020.
  75. 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "ランク制約付き空間共分散行列推定法に基づく拡散性雑音存在下でのブラインド複数方向性音源分離," 日本音響学会 2020年春季研究発表会講演論文集, 3-1-13, pp. 301–304, Saitama, March 2020.
  76. 近藤樹, 高宗典玄, 北村大地, 猿渡洋, 池下林太郎, 中谷智広, "三重対角型周波数共分散行列を用いた独立半正定値テンソル分析によるブラインド音源分離," 日本音響学会 2020年春季研究発表会講演論文集, 3-1-11, pp. 293–296, Saitama, March 2020.
  77. 加茂佳吾, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "同時対角化行列の事前分布を用いた高速多チャネル非負値行列因子分解によるブラインド音源分離," 日本音響学会 2020年春季研究発表会講演論文集, 3-1-12, pp. 297–300, Saitama, March 2020.
  78. 宇根昌和, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, 牧野 昭二, "基底共有型半教師あり独立低ランク行列分析に基づく多チャネル補聴器システム," 日本音響学会 2020年春季研究発表会講演論文集, 1-1-22, pp. 217–220, Saitama, March 2020.
  79. 矢田部浩平, 北村大地, "HVA：調波ベクトル分析," 日本音響学会 2020年春季研究発表会講演論文集, 1-1-16, pp. 199–200, Saitama, March 2020.
  80. 加茂佳吾, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "一般化Gauss分布に基づく同時対角化制約付き多チャネルNMFを用いたブラインド音源分離," 電子情報通信学会 技術研究報告, EA2019-103, vol. 119, no. 439, pp. 13–19, Okinawa, March 2020.
  81. 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "ブラインド音声抽出のための多変量複素一般化Gauss分布に基づくランク制約付き空間共分散行列推定法及びその高速化," 電子情報通信学会 技術研究報告, EA2019-78, vol. 119, no. 334, pp. 85–92, Fukuoka, December 2019.
  82. 川辺裕貴, 北村大地, 柿元健, "ソフトウェア開発実績データにおける欠損値補完への非負値行列因子分解の適用," 日本ソフトウェア科学会 第26回ソフトウェア工学の基礎ワークショップ（FOSE 2019）, pp. 175–176, Gifu, November 2019.
  83. 加茂佳吾, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "多変量複素Student’s t分布に基づくFastMNMF を用いたブラインド音源分離," 電子情報通信学会 技術研究報告, EA2019-40, vol. 119, no. 253, pp. 23–29, Tokyo, October 2019.
  84. 牧島直輝, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "独立深層学習行列分析におけるマイクロホン毎の座標降下法に基づく分離行列更新," 日本音響学会 2019年秋季研究発表会講演論文集, 1-1-2, pp. 157–160, Shiga, September 2019.
  85. 近藤樹, 高宗典玄, 北村大地, 猿渡洋, 池下林太郎, 中谷智広, "多変量複素Student's t分布に基づく独立半正定値テンソル分析によるブラインド音源分離," 日本音響学会 2019年秋季研究発表会講演論文集, 1-1-1, pp. 153–156, Shiga, September 2019.
  86. 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "ランク制約付き空間共分散モデル推定法の逆行列展開による高速化," 日本音響学会 2019年秋季研究発表会講演論文集, 1-Q-23, pp. 287–290, Shiga, September 2019.
  87. 宇根昌和, 久保優騎, 高宗典玄, 北村大地, 猿渡洋, 牧野昭二, "ランク制約付き空間共分散モデル推定を用いた多チャネル補聴器システムの評価," 日本音響学会 2019年秋季研究発表会講演論文集, 1-1-3, pp. 161–164, Shiga, September 2019.
  88. 上髙正寛, 林和彦, 長谷川雄基, 北村大地, 宇野洋志城, "衝撃弾性波法におけるコンクリートの弾性波伝搬速度の計算手法に関する検討," 令和元年度土木学会全国大会第74回年次学術講演会, V-581, Kagawa, September 2019.
  89. 福重敢太, 高宗典玄, 北村大地, 猿渡洋, 池下林太郎, 中谷智広, "収束保証型独立半正定値テンソル分析に基づくブラインド音源分離," 電子情報通信学会 技術研究報告, EA2018-127, vol. 118, no. 496, pp. 167–172, Nagasaki, March 2019.
  90. 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "ブラインド音源分離における多変量複素Student's t分布に基づくランク制約付き空間共分散モデルの推定," 電子情報通信学会 技術研究報告, EA2018-128, vol. 118, no. 496, pp. 173–178, Nagasaki, March 2019.
  91. 牧島直輝, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, "時変複素一般化ガウス分布に基づく独立深層学習行列分析," 日本音響学会 2019年春季研究発表会講演論文集, 1-6-7, pp. 189–192, Tokyo, March 2019.
  92. 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "乗算型更新式に基づくランク制約付き空間共分散モデルの推定," 日本音響学会 2019年春季研究発表会講演論文集, 2-6-1, pp. 245–248, Tokyo, March 2019.
  93. 最上伸一, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, "独立低ランク行列分析におけるmajorization-equalizationアルゴリズムを用いた空間パラメータの高速更新," 日本音響学会 2019年春季研究発表会講演論文集, 2-6-2, pp. 249–252, Tokyo, March 2019.
  94. 矢田部浩平, 北村大地, "白色化の影響を考慮したスパース独立ベクトル分析," 日本音響学会 2019年春季研究発表会講演論文集, 2-6-5, pp. 259–260, Tokyo, March 2019.
  95. 牧島直輝, 最上伸一, 高宗典玄, 高道慎之介, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, "教師あり及び半教師あり条件下における独立深層学習行列分析の実験的評価," 日本音響学会 2019年春季研究発表会講演論文集, 2-Q-28, pp. 385–388, Tokyo, March 2019.
  96. 牧島直輝, 最上伸一, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, "ヘビーテイル生成モデルに基づく独立深層学習行列分析による多チャネル音源分離," 電子情報通信学会 第33回信号処理シンポジウム, B2-3, pp. 202–207, Tokyo, November 2018. (Paper)
  97. 高道慎之介, 齋藤佑樹, 高宗典玄, 北村大地, 猿渡洋, "方向統計DNNに基づく振幅スペクトログラムからの位相復元," 日本音響学会 2018年秋季研究発表会講演論文集, 2-4-2, pp. 1127–1130, Oita, September 2018.
  98. 最上伸一, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, 小野順貴, "一般化反復射影法に基づく時変劣ガウス独立低ランク行列分析," 日本音響学会 2018年秋季研究発表会講演論文集, 3-1-10, pp. 215–218, Oita, September 2018.
  99. 久保優騎, 高宗典玄, 北村大地, 猿渡洋, "独立低ランク行列分析を用いたフルランク空間共分散モデルに基づくブラインド音源分離," 日本音響学会 2018年秋季研究発表会講演論文集, 3-1-9, pp. 211–214, Oita, September 2018.
  100. 牧島直輝, 高宗典玄, 高道慎之介, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, "半教師あり独立深層学習行列分析におけるデータ拡張に基づく音源モデルの適応," 日本音響学会 2018年秋季研究発表会講演論文集, 2-1-8, pp. 181–184, Oita, September 2018.
  101. 矢田部浩平, 北村大地, "⼀般の時間周波数マスキングに基づく独⽴ベクトル分析," 日本音響学会 2018年秋季研究発表会講演論文集, 3-1-11, pp. 219–220, Oita, September 2018.
  102. 相場亮人, 吉田実, 後藤理, 北村大地, 高道慎之介, 猿渡洋, "雑音下異常検知における前処理としてのNMF音源抽出手法の検討," 情報処理学会 第119回音楽情報科学研究会, vol. 2018-MUS-119, no. 33, pp. 1–5, Tokyo, June 2018.
  103. 高道慎之介, 齋藤佑樹, 高宗典玄, 北村大地, 猿渡洋, "von Mises分布DNNに基づく振幅スペクトログラムからの位相復元," 情報処理学会 第119回音楽情報科学研究会, vol. 2018-MUS-119, no. 54, pp. 1–5, Tokyo, June 2018 (音学シンポジウム優秀賞, 情報処理学会 山下記念研究賞).
  104. 北村大地, 角野隼斗, 高宗典玄, 高道慎之介, 猿渡洋, 猿渡洋, 小野順貴, "独立深層学習行列分析に基づく多チャネル音源分離の実験的評価," 電子情報通信学会 技術研究報告, EA2017-104, vol. 117, no. 515, pp. 13–20, Okinawa, March 2018. (PDF, IEICE Transactions Online, Copyright (c) 2017 IEICE, Slide)
  105. 北村大地, 高宗典玄, 最上伸一, 三井祥幹, 猿渡洋, 高橋祐, 近藤多伸, "ヘビーテイルな分布に基づく⾮負値⾏列因⼦分解を⽤いたスパース雑⾳除去," 日本音響学会 2018年春季研究発表会講演論文集, 1-4-14, pp. 441–444, Saitama, March 2018. (Slide)
  106. 角野隼斗, 北村大地, 高宗典玄, 高道慎之介, 猿渡洋, 小野順貴, "独立深層学習行列分析に基づく多チャネル音源分離," 日本音響学会 2018年春季研究発表会講演論文集, 1-4-16, pp. 449–452, Saitama, March 2018.
  107. 三井祥幹, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, "空間モデル正則化を⽤いた独⽴低ランク⾏列分析に基づくブラインド⾳源分離," 日本音響学会 2018年春季研究発表会講演論文集, 1-4-15, pp. 445–448, Saitama, March 2018.
  108. 矢田部浩平, 北村大地, "近接分離最適化によるブラインド⾳源分離," 日本音響学会 2018年春季研究発表会講演論文集, 1-4-10, pp. 431–434, Saitama, March 2018. (Slide)
  109. 最上伸一, 三井祥幹, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, 中嶋広明, 亀岡弘和, "Iダイバージェンスに基づく独⽴低ランク⾏列分析の実験的評価," 日本音響学会 2018年春季研究発表会講演論文集, 1-4-8, pp. 423–426, Saitama, March 2018.
  110. 宇根昌和, 齋藤佑樹, 高道慎之介, 北村大地, 宮崎亮一, 猿渡 洋, "雑音環境下音声を用いたDNN音声合成のための雑音生成モデルの敵対的学習," 日本音響学会 2018年春季研究発表会講演論文集, 3-8-8, pp. 243–244, Saitama, March 2018.
  111. 最上伸一, 三井祥幹, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "Iダイバージェンスを用いた独立低ランク行列分析," 電子情報通信学会 第32回信号処理シンポジウム, B8-1, pp. 354–359, Iwate, November 2017. (Paper)
  112. 三井祥幹, 高宗典玄, 北村大地, 猿渡洋, 高橋祐, 近藤多伸, "空間事前情報を用いた独立低ランク行列分析," 電子情報通信学会 第32回信号処理シンポジウム, B8-2, pp. 360–365, Iwate, November 2017. (Paper)
  113. 北村大地, 小野順貴, 澤田宏, 亀岡弘和, 猿渡洋, "独立低ランク行列分析に基づくブラインド音源分離," 電子情報通信学会 技術研究報告, EA2017-56, vol. 117, no. 255, pp. 73–80, Toyama, October 2017 (招待講演). (PDF, IEICE Transactions Online, Copyright (c) 2017 IEICE, Slide)
  114. 宇根昌和, 齋藤佑樹, 高道慎之介, 北村大地, 宮崎亮一, 猿渡洋, "雑音環境下音声を用いた音声合成のための雑音生成モデルの敵対的学習," IPSJ SIG Technical Report, 2017-SLP-118, no. 1, pp. 1–6, October 2017.
  115. 三井祥幹, 北村大地, 高宗典玄, 猿渡洋, 高橋祐, 近藤多伸, "パラメトリック補助関数法に基づく独立低ランク行列分析を用いたブラインド音源分離," 日本音響学会 2017年秋季研究発表会講演論文集, 3-12-13, pp. 519–522, Ehime, September 2017.
  116. 最上伸一, 北村大地, 高宗典玄, 三井祥幹, 猿渡洋, 小野順貴, 高橋祐, 近藤多伸, "複素Student's t分布に基づく独立低ランク行列分析の実験的評価," 日本音響学会 2017年秋季研究発表会講演論文集, 3-12-12, pp. 515–518, Ehime, September 2017.
  117. 最上伸一, 北村大地, 高宗典玄, 三井祥幹, 猿渡洋, 小野順貴, 高橋祐, 近藤多伸, "複素Student's t分布に基づく独立低ランク行列分析," 電子情報通信学会 技術研究報告, EA2017-23, vol. 117, no. 138, pp. 131–136, Hokkaido, July 2017.
  118. 高宗典玄, 北村大地, 小野順貴, 猿渡洋, "新しい補助関数を用いたCauchy NMFの高速最適化," 情報処理学会 第115回音楽情報科学研究会, vol. 2017-MUS-115, no. 48, pp. 1–6, Tokyo, June 2017.
  119. 三井祥幹, 溝口聡, 猿渡洋, 越智景子, 北村大地, 小野順貴, 石村大, 前成美, 高草木萌, 松井裕太郎, 山岡洸瑛, 牧野昭二, "柔軟索状ロボットにおける独立低ランク行列分析と統計的音声強調に基づく高品質ブラインド音源分離の開発," 日本機械学会 ロボティクス・メカトロニクス講演会 (ROBOMECH 2017)講演論文集, no. 17-2, 1P2-P04, Fukushima, May 2017.
  120. 三井祥幹, 溝口聡, 猿渡洋, 越智景子, 北村大地, 小野順貴, 石村大, 前成美, 高草木萌, 松井裕太郎, 山岡洸瑛, 牧野昭二, "独立低ランク行列分析と統計的音声強調を用いた柔軟索状ロボットにおけるブラインド音源分離システムの開発," 日本音響学会 2017年春季研究発表会講演論文集, 1-P-3, pp. 517–518, Kanagawa, March 2017.
  121. 三井祥幹, 北村大地, 高道慎之介, 猿渡洋, "スパース時系列正則化付き独立低ランク行列分析における効率的な解法の検討," 電子情報通信学会 技術研究報告, EA2016-72, vol. 116, no. 420, pp. 25–30, Kyoto, January 2017.
  122. 三井祥幹, 北村大地, 高道慎之介, 猿渡洋, "スパース時系列正則化に基づく独立低ランク行列分析を用いたブラインド音源分離," 日本音響学会 2016年秋季研究発表会講演論文集, 1-7-3, pp. 325–328, Toyama, September 2016. (J-GLOBAL, PDF)
  123. 高草木萌, 北村大地, 小野順貴, 山田武志, 牧野昭二, 猿渡洋, "ランク1空間モデル制約付き多チャネルNMFを用いた柔軟索状ロボットにおける雑音抑圧," 日本機械学会 ロボティクス・メカトロニクス講演会 (ROBOMECH 2016)講演論文集, no. 16-2, 1A2-10a3, Kanagawa, June 2016.
  124. 北村大地, 小野順貴, 猿渡洋, 高橋祐, 近藤多伸, "半教師あり非負値行列因子分解における音源分離性能向上のための効果的な基底学習法," 電子情報通信学会 技術研究報告, EA2015-130, vol. 115, no. 521, pp. 355–360, Oita, March 2016. (CiNii, Slide)
  125. 高草木萌, 北村大地, 小野順貴, 山田武志, 牧野昭二, 猿渡洋, "ランク1空間モデル制約付き多チャネルNMFを用いた雑音抑圧の柔軟索状ロボットへの適用," 電子情報通信学会 2016年総合大会講演論文集, A-5-1, Fukuoka, March 2016. (CiNii)
  126. 北村大地, 小野順貴, "独立性基準を用いた非負値行列因子分解の効果的な初期値決定法," 日本音響学会 2016年春季研究発表会講演論文集, 3-3-5, pp. 619–622, Kanagawa, March 2016. (J-GLOBAL, PDF, Slide)
  127. 高田一真, 北村大地, 中嶋広明, 小山翔一, 猿渡洋, 小野順貴, 牧野昭二, "教師あり多チャネルNMFと統計的音声強調を用いた柔軟索状ロボットにおける音源分離," 日本音響学会 2016年春季研究発表会講演論文集, 3-3-2, pp. 609–612, Kanagawa, March 2016. (J-GLOBAL, PDF)
  128. 中嶋広明, 北村大地, 高宗典玄, 小山翔一, 猿渡洋, 小野順貴, 高橋祐, 近藤多伸, "時変な全極モデルを用いた基底変形型教師ありNMFによる音楽信号分離," 日本音響学会 2016年春季研究発表会講演論文集, 3-3-11, pp. 635–638, Kanagawa, March 2016. (J-GLOBAL, PDF)
  129. 中嶋広明, 北村大地, 高宗典玄, 小山翔一, 猿渡洋, 小野順貴, 高橋祐, 近藤多伸, "全極モデルを用いた基底変形型教師ありNMFにおける変形自由度に関する研究," 電子情報通信学会 技術研究報告, EA2015-42, vol. 115, no. 359, pp. 13–18, Kanazawa, December 2015. (CiNii, Poster)
  130. 北村大地, 猿渡洋, 小野順貴, 澤田宏, 亀岡弘和, "ランク1空間近似を用いたBSSにおける音源及び空間モデルの考察," 日本音響学会 2015年秋季研究発表会講演論文集, 3-6-10, pp. 583–586, Fukushima, September 2015. (J-GLOBAL, PDF, Slide)
  131. 中嶋広明, 北村大地, 高宗典玄, 小山翔一, 猿渡洋, 小野順貴, 高橋祐, 近藤多伸, "全極モデルを用いた基底変形型教師ありNMFによる音楽信号分離," 日本音響学会 2015年秋季研究発表会講演論文集, 3-6-7, pp. 573–576, Fukushima, September 2015 (ASJ 学生優秀発表賞). (J-GLOBAL, PDF)
  132. 北村大地, 小野順貴, 澤田宏, 亀岡弘和, 猿渡洋, "多チャネル非負値行列因子分解におけるランク1空間モデルの音源分離性能評価," 情報処理学会 第107回音楽情報科学研究会, vol. 2015-MUS-107, no. 31, pp. 1–6, Tokyo, May 2015. (IPSJ, Poster)
  133. 北村大地, 小野順貴, 澤田宏, 亀岡弘和, 猿渡洋, "過決定条件BSSにおけるランク1 空間制約の緩和," 日本音響学会 2015年春季研究発表会講演論文集, 3-10-11, pp. 629–632, Tokyo, March 2015. (J-GLOBAL, PDF, Slide)
  134. 室田勇騎, 北村大地, 小山翔一, 猿渡洋, 中村哲, "時系列事前分布モデルとスペクトル基底の同時適応を用いたバイノーラル音源分離の実験的評価," 日本音響学会 2015年春季研究発表会講演論文集, 1-10-12, pp. 549–552, Tokyo, March 2015. (J-GLOBAL, PDF)
  135. 室田勇騎, 北村大地, 小山翔一, 猿渡洋, 中村哲, "バイノーラル音源分離における時系列事前分布モデルとスペクトル基底の同時適応," 電子情報通信学会 技術研究報告, EA2014-64, vol. 114, no. 423, pp. 27–32, Kyoto, January 2015. (CiNii)
  136. Yuki Murota, Daichi Kitamura, Shoichi Koyama, Hiroshi Saruwatari, and Satoshi Nakamura, "Localization-preserved binaural source separation using channel-wise target prior estimation and equi-binaural spectral gain," Proceedings of 29th Signal Processing Symposium (SIP Symposium), P5-6, pp. 486–491, Kyoto, November 2014. (Paper)
  137. Daichi Kitamura, Nobutaka Ono, Hiroshi Sawada, Hirokazu Kameoka, and Hiroshi Saruwatari, "Efficient multichannel nonnegative matrix factorization with rank-1 spatial model," Proceedings of 2014 Autumn Meeting of Acoustical Society of Japan, 2-1-11, pp. 579–582, Hokkaido, September 2014 (in Japanese, ASJ 粟屋 潔学術奨励賞). (J-GLOBAL, PDF, Slide)
  138. 室田勇騎, 北村大地, 小山翔一, 猿渡洋, 中村哲, "バイノーラル信号音源分離における両耳事前分布モデルの考察," 日本音響学会 2014年秋季研究発表会講演論文集, 1-1-3, pp. 595–598, Hokkaido, September 2014 (ASJ 学生優秀発表賞). (J-GLOBAL, PDF)
  139. Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, Kazunobu Kondo, and Hirokazu Kameoka, "Experimental evaluation of superresolution-based nonnegative matrix factorization for binaural recording," Proceedings of 103th IPSJ Special Interest Group on Music and Computer (IPSJ-SIGMUS), vol. 2014-MUS-103, no. 38, Tokyo, May 2014. (IPSJ, Poster)
  140. Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Kazunobu Kondo, Yu Takahashi, and Hirokazu Kameoka, "Optimal divergence diversity for superresolution-based nonnegative matrix factorization," Proceedings of 2014 Spring Meeting of Acoustical Society of Japan, 3-2-9, pp. 727–730, Tokyo, March 2014. (J-GLOBAL, PDF, Slide)
  141. 宮内智, 北村大地, 猿渡洋, 中村哲, "音源到来方向分布とアクティベーション共有型非負値行列因子分解を用いた音像深度推定," 日本音響学会 2014年春季研究発表会講演論文集, 1-1-5, pp. 947–950, Tokyo, March 2014 (ASJ 学生優秀発表賞). (J-GLOBAL, PDF)
  142. 室田勇騎, 北村大地, 中井駿介, 猿渡洋, 中村哲, 高橋祐, 近藤多伸, "統計モデルパラメータ推定を用いたポストフィルタに基づく非負値行列因子分解の実験的評価," 日本音響学会 2014年春季研究発表会講演論文集, 2-1-5, pp. 677–680, Tokyo, March 2014. (J-GLOBAL, PDF)
  143. 宮内智, 北村大地, 猿渡洋, 中村哲, "アクティベーション共有型非負値行列因子分解を用いた混合音源中の音像深度推定," 電子情報通信学会 技術研究報告, EA2013-117, vol. 113, no. 413, pp. 81–86, Osaka, January 2014. (CiNii)
  144. Yuki Murota, Daichi Kitamura, Shunsuke Nakai, Hiroshi Saruwatari, Satoshi Nakamura, Yu Takahashi, and Kazunobu Kondo, "Postfilter-based nonnegative matrix factorization with statistical model parameter estimation," 電子情報通信学会 技術研究報告, EA2013-116, vol. 113, no. 413, pp. 75–80, Osaka, January 2014. (CiNii)
  145. 宮内智, 北村大地, 猿渡洋, 中村哲, "アクティベーション共有型非負値行列因子分解を用いた音像深度推定," 第16回 日本音響学会関西支部 若手研究者交流研究発表会, Osaka, November 2013 (支部局長特別賞受賞). (Poster)
  146. Daichi Kitamura, Hiroshi Saruwatari, Kosuke Yagi, Kiyohiro Shikano, Yu Takahashi, and Kazunobu Kondo, "Music signal separation using supervised nonnegative matrix factorization with orthogonality and maximum-divergence penalties," Proceedings of 28th Signal Processing Symposium (SIP Symposium), C1-4, pp. 539–544, Yamaguchi, November 2013 (SIP 信号処理若手奨励賞). (Slide)
  147. Daichi Kitamura, Hiroshi Saruwatari, Satoshi Nakamura, Kazunobu Kondo, and Yu Takahashi, "Divergence optimization based on trade-off between separation and extrapolation abilities in superresolution-based nonnegative matrix factorization," Proceedings of 2013 Autumn Meeting of Acoustical Society of Japan, 1-1-6, pp. 583–586, Aichi, September 2013 (ASJ 学生優秀発表賞). (J-GLOBAL, PDF, Slide)
  148. 宮内智, 北村大地, 猿渡洋, 中村哲, "方位クラスタリングと非負値行列因子分解を用いた音像深度自動推定," 日本音響学会 2013年秋季研究発表会講演論文集, 2-1-19, pp. 673–676, Aichi, September 2013. (J-GLOBAL, PDF, Slide)
  149. Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, and Yu Takahashi, "Study on optimal divergence for superresolution-based supervised nonnegative matrix factorization," IEICE technical Report, EA2013-14, vol. 113, no. 27, pp. 79–84, Okayama, May 2013. (CiNii, Slide)
  150. Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, and Yu Takahashi, "Importance of regularization in superresolution-based multichannel signal separation with nonnegative matrix factorization," Proceedings of 99th IPSJ Special Interest Group on Music and Computer (IPSJ-SIGMUS), vol. 2013-MUS-99, no. 14, pp. 1–6, Tokyo, May 2013. (IPSJ, Poster)
  151. Daichi Kitamura, Hiroshi Saruwatari, Kiyohiro Shikano, Kazunobu Kondo, and Yu Takahashi, "Evaluation of separation accuracy for various real instruments based on supervised NMF with basis deformation," Proceedings of 2013 Spring Meeting of Acoustical Society of Japan, 3-1-11, pp. 1057–1060, Tokyo, March 2013. (J-GLOBAL, PDF, Slide)
  152. 北村大地, 猿渡洋, 鹿野清宏, 近藤多伸, 高橋祐, "基底変形型教師ありNMFによる実楽器信号分離," 電子情報通信学会 技術研究報告, EA2012-121, vol. 112, no. 388, pp. 13–18, Kyoto, January 2013. (CiNii, Slide)
  153. 北村大地, 原囿正博, "模擬ハムバッキング・ピックアップの弦振動応答," 電子情報通信学会 2011年総合大会講演論文集, vol. 2011, A-10-6, p. 170, Tokyo, March 2011. (CiNii, Slide)
  154. 北村大地, 原囿正博, "擬似ハムバッキングピックアップの弦振動応答," 電気関係学会 2010年四国支部連合大会講演論文集, vol. 2010, 16-13, Ehime, September 2010. (J-GLOBAL, Slide)
  155. 北村大地, 原囿正博, "エレクトリックギター音のシミュレーション," 電気関係学会 2009年四国支部連合大会講演論文集, vol. 2009, 16-5, Ehime, September 2009 (IEICE四国支部連合大会 奨励賞). (J-GLOBAL, Slide)

特許

  1. 出願中
  2. 北村大地, 多田敏貴, 小河晃太朗, 寺尾美菜子, 竹中一馬, "電子機器及びその制御方法," 特願2021-120969 (2021年7月21日出願), 特開2023-016563 (2023年2月2日公開). (J-PlatPat)
  3. Daichi Kitamura, Hiroshi Saruwatari, Yuki Kubo, and Norihiro Takamune, "ACOUSTIC ANALYSIS DEVICE, ACOUSTIC ANALYSIS METHOD, AND ACOUSTIC ANALYSIS PROGRAM," Application No. 17/782,546 (submitted on December 1st, 2020), and Publication No. US-2023/0018030 A1 (published on January 19th, 2023). (USPTO)
  4. Daichi Kitamura and Rui Watanabe, "AUDIO PROCESSING METHOD, METHOD FOR TRAINING ESTIMATION MODEL, AND AUDIO PROCESSING SYSTEM," Application No. 17/896,671 (submitted on August 26th, 2022), and Publication No. US-2022/0406325 A1 (published on December 22nd, 2022). (USPTO)
  5. 北村大地, 渡辺瑠伊, "音響処理方法," 特願2020-33347 (2020年2月28日出願), 特開2021-135446 (2021年9月13日公開). (J-PlatPat)
  6. 北村大地, 久保優騎, 猿渡洋, 高宗典玄, "音響解析装置、音響解析方法及び音響解析プログラム," 特願2019-220584 (2019年12月5日出願), 特開2021-89388 (2021年6月10日公開). (J-PlatPat)
  7. 北村大地, 中嶋広明, 猿渡洋, 小野順貴, 高橋祐, 近藤多伸, "音信号処理方法および音信号処理装置," 特願2016-032489 (2016年2月23日出願), 特開2017-151228 (2017年8月31日公開). (J-PlatPat)
  8. 北村大地, 猿渡洋, 高橋祐, "音響処理装置," 特願2013-094475 (2013年4月26日出願), 特開2014-215544 (2014年11月17日公開). (J-PlatPat)
  9. 北村大地, 猿渡洋, 高橋祐, "音響解析装置," 特願2013-004375 (2013年1月15日出願), 特開2014-137389 (2014年7月28日公開). (J-PlatPat)

その他

  1. Daichi Kitamura, "Audio source separation based on spectral and spatial models," Tours University, Invited Lecture, October 6th, 2023. (Slide)
  2. Daichi Kitamura, "Blind audio source separation based on time-frequency structure models," Invited Overview Session in Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021), Tokyo, Japan, December 2021.
  3. 村田佳斗, 蓮池郁也, 川口翔也, 北村大地, "北村（うどん）研究室の紹介," 第24回 日本音響学会関西支部 若手研究者交流研究発表会, pp. 54, Online, December 2021.
  4. 北村大地, "The BEEtles!4匹のハチさんが奏でる「Let it "BEE"」," MATLAB EXPO 2021 Japan Lightning Talk, June 10th, 2021. (YouTube)
  5. Hiroshi Sawada, Nobutaka Ono, Hirokazu Kameoka, and Daichi Kitamura, "T-1 Blind audio source separation on tensor representation," 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, April 16th, 2018. (Slide)
  6. Daichi Kitamura, "Blind source separation based on independent low-rank matrix analysis and its extensions," Ohio State University, Invited Lecture, December 15th, 2017. (Slide)
  7. Daichi Kitamura, "Dataset: songKitamura," 音楽音源分離評価用データセット, October 13th, 2017. (Details)
  8. 北村大地, "音源分離における音響モデリング," 日本音響学会 サマーセミナー 招待講演, September 11th, 2017. (Slide)
  9. Daichi Kitamura, "Blind source separation based on independent low-rank matrix analysis and its extension to Student's t-distribution," Télécom ParisTech, Invited Lecture, September 4th, 2017. (Slide)
  10. 北村大地, "Q. エレキギターの音色がピックアップによって変わるのはなぜでしょうか。," 日本音響学会誌 コーヒーブレイク Q&Aコーナー, vol. 73, no. 9, September 2017.
  11. Daichi Kitamura, "AASP-L3: Deep learning for source separation and enhancement I（北村担当分）," ICASSP読み会（関東編）, June 24th, 2017. (Slide)
  12. Daichi Kitamura, "Audio source separation based on low-rank structure and statistical independence," Nagoya University, Invited Lecture, May 30th, 2017. (Slide)
  13. Daichi Kitamura, "Effective optimization algorithms for blind and supervised music source separation with nonnegative matrix factorization," SOKENDAI (The Graduate University for Advanced Studies), Doctoral Dissertation, March 2017 (SOKENDAI Nagakura Research Incentive Award). (PDF)
  14. 北村大地, "独立性に基づくブラインド音源分離の発展と独立低ランク行列分析," 東京大学システム情報談話会, 招待講演, Tokyo, February 27th, 2017. (Slide)
  15. 北村大地, "統計的独立性と低ランク行列分解理論に基づくブラインド音源分離 –独立低ランク行列分析–," 筑波大学システム情報工学研究科マルチメディア研究室, 招待講演, Ibaraki, September 26th, 2016. (Slide)
  16. Daichi Kitamura, "Algorithms for independent low-rank matrix analysis," Supporting document, August 2016 (PDF).
  17. Daichi Kitamura, "Blind music separation based on independent low-rank matrix analysis," Speech PhD Summit 2016, Google Inc., Invited Talk, London, UK, June 15th, 2016.
  18. 北村大地, 小野順貴, "混ざった音を分ける技術！音楽からボーカルだけ, ギターだけを聴くには？音源分離技術のメカニズムとその実力とは," 平成28年度 国立情報学研究所(NII) オープンハウス, no. E02, Tokyo, May 2016.
  19. 北村大地, "音響メディア信号処理における独立成分分析の発展と応用," 一橋大学大学院国際企業戦略研究科金融戦略・経営財務コース ファカルティセミナー, 招待講演, Tokyo, February 8th, 2016. (HP, Slide)
  20. 北村大地, "音楽を対象とした音響メディア信号処理," 第7回北陸合同音響セミナービギナー成果発表会, 招待講演, Ishikawa, December 13th, 2015. (HP)
  21. 北村大地, "非負値行列分解の確率的生成モデルと多チャネル音源分離への応用," 慶應義塾大学理工学部電子工学科湯川研究室 招待講演, Kanagawa, November 24th, 2015. (Slide)
  22. 北村大地, 小野順貴, 澤田宏, 亀岡弘和, 猿渡洋, "混ざった音を分ける技術！音楽からボーカルだけ, ギターだけを聴くには？非負値行列因子分解を用いた音楽信号分離," 平成27年度 国立情報学研究所(NII) オープンハウス, no. E02, Tokyo, June 2015. (Poster)
  23. Daichi Kitamura, "Music signal separation combining directional clustering and nonnegative matrix factorization with spectrogram restoration," Nara Institute of Science and Technology, Master Thesis, March 2014. (PDF)