Publication List

All publications of Daichi Kitamura are listed here.

日本語

FY2024

  1. Shoma Ayano, Li Li, Shogo Seki, and Daichi Kitamura, "Automatic basis allocation using attractor-based regularization for NTF-based spotforming," Proceedings of 2024 Autumn Meeting of Acoustical Society of Japan, 1-11-6, pp. 129–132, Osaka, September 2024 (in Japanese, non-reviewed).
    [Paper], [Slide]
  2. Fumiya Hasuike and Daichi Kitamura, "Evaluation of blind source separation performance based on deep permutation solver," Proceedings of 2024 Autumn Meeting of Acoustical Society of Japan, 1-R-25, pp. 235–238, Osaka, September 2024 (in Japanese, non-reviewed).
    [Paper], [Poster]
  3. Shoya Kawaguchi and Daichi Kitamura, "Subjective evaluation of spectrogram prediction from acoustic features based on deep neural network," Proceedings of 2024 Autumn Meeting of Acoustical Society of Japan, 1-R-35, pp. 261–262, Osaka, September 2024 (in Japanese, non-reviewed).
    [Paper], [Poster]
  4. 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.
    [Paper], [Slide]

FY2023

  1. Shoma Ayano, Li Li, Shogo Seki, and Daichi Kitamura, "Spotforming using distributed microphone array based on nonnegative tensor factorization," Proceedings of 2024 Spring Meeting of Acoustical Society of Japan, 1-R-14, pp. 137–140, Tokyo, March 2024 (in Japanese, non-reviewed).
    [Paper], [Poster]
  2. Aika Matsumoto, Daichi Kitamura, Hiroshi Saruwatari, Norihiro Takamune, Yu Takahashi, and Kazunobu Kondo, "Analysis of transfer functions for bleeding sound separation," Proceedings of Kansai Chapter of the Acoustical Society of Japan 26th Meeting for Young Researchers, p. 20, Osaka, December 2023 (in Japanese, non-reviewed).
    [Paper], [Poster]
  3. Yuya Wake and Daichi Kitamura, "Spectrogram completion using regularized nonnegative matrix factorization," Proceedings of Kansai Chapter of the Acoustical Society of Japan 26th Meeting for Young Researchers, p. 18, Osaka, December 2023 (in Japanese, non-reviewed).
    [Paper], [Poster]
  4. Daichi Kitamura, Ren Sasaki, Rui Sogabe, Toma Sugita, and Yuga Takeue, "Investigation of flat frequency setting for iconic guitar amplifier "JC-120"," Proceedings of Kansai Chapter of the Acoustical Society of Japan 26th Meeting for Young Researchers, p. 18, Osaka, December 2023 (in Japanese, non-reviewed).
    [Paper], [Poster]
  5. Kei Suzuki and Daichi Kitamura, "Analysis of relationship between activity ratio of single speaker and blind source separation performance," Proceedings of Kansai Chapter of the Acoustical Society of Japan 26th Meeting for Young Researchers, p. 17, Osaka, December 2023 (in Japanese, non-reviewed).
    [Paper], [Poster]
  6. Taiki Kato, Shoya Kawaguchi, and Daichi Kitamura, "Single voice activity detection for blind source separation," Proceedings of Kansai Chapter of the Acoustical Society of Japan 26th Meeting for Young Researchers, p. 17, Osaka, December 2023 (in Japanese, non-reviewed).
    [Paper], [Poster]
  7. Shoma Ayano, Daichi Kitamura, and Kohei Yatabe, "Blind audio source separation using time differential of spectrograms," Proceedings of the 2021 Annual Meeting of the Shikoku-section Joint Convention of the Institutes of Electrical and related Engineers (SJCIEE), p. 95, Kagawa, September 2023 (in Japanese, non-reviewed).
    [Paper], [Slide]
  8. Daichi Kitamura and Reo Kishimoto, "Simple trajectory estimation of double pendulum for STEM education," Proceedings of the 2021 Annual Meeting of the Shikoku-section Joint Convention of the Institutes of Electrical and related Engineers (SJCIEE), p. 96, Kagawa, September 2023 (in Japanese, non-reviewed).
    [Paper], [Slide]
  9. 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.
    [Paper]
  10. Daichi Kitamura and Tomohiko Nakamura, "Basics and applications in audio source separation -Guidance for being "I know it a little"-," Proceedings of 137th IPSJ Special Interest Group on Music and Computer (IPSJ-SIGMUS), vol. 2023-MUS-137 no. 35, Tokyo, June, 2023 (in Japanese, non-reviewed, invited talk).
    [Paper], [Slide]

FY2022

  1. 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, Honolulu, USA, March 2023.
    [Paper], [Slide]
  2. Fumiya Hasuike, Daichi Kitamura, Rui Watanabe, and Shoya Kawaguchi, "Deep permutation solver based on frequency bidirectional recursion," Proceedings of 37th Signal Processing Symposium, A13-2, pp. 308–313, Niigata, December 2022 (in Japanese, non-reviewed).
    [Paper], [Slide]
  3. Koki Karato and Daichi Kitamura, "Study on guitar riff extraction from guitar tablatures," Proceedings of Kansai Chapter of the Acoustical Society of Japan 25th Meeting for Young Researchers, p. 11, Kyoto, December 2022 (in Japanese, non-reviewed).
    [Paper], [Poster]
  4. 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.
    [Paper], [Slide]
  5. Keito Murata, Daichi Kitamura, Ryo Saito, and Daichi Ueki, "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.
    [Paper], [Slide]
  6. Shoya Kawaguchi and Daichi Kitamura, "Amplitude spectrogram prediction and evaluation from MFCC and loudness using bidirectional LSTM," Proceedings of 2022 Autumn Meeting of Acoustical Society of Japan, 1-1-16, pp. 1471–1474, Hokkaido, September 2022 (in Japanese, non-reviewed).
    [Paper], [Slide]
  7. Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Robustness comparison of initialization for bleeding sound reduction using time-channel nonnegative matrix factorization," Proceedings of 2022 Autumn Meeting of Acoustical Society of Japan, 1-Q-28, pp. 347–350, Hokkaido, September 2022 (in Japanese, non-reviewed).
    [Paper], [Poster]
  8. Fumiya Hasuike, Daichi Kitamura, and Rui Watanabe, "Experimental evaluation of generalizability of deep permutation solver," Proceedings of 2022 Autumn Meeting of Acoustical Society of Japan, 1-Q-29, pp. 351–354, Hokkaido, September 2022 (in Japanese, non-reviewed).
    [Paper], [Poster]
  9. Keito Murata, Daichi Kitamura, Ryo Saito, and Daichi Ueki, "Estimation of driver's heart rate using radar sensors and source separation algorithms," Proceedings of IEICE The 35th Workshop on Circuits and Systems, pp. 96–101, Kyushu, August 2022 (in Japanese).
    [Paper]
  10. Shoya Kawaguchi and Daichi Kitamura, "Amplitude spectrogram prediction from MFCC and loudness using bidirectional RNN," Proceedings of 134th IPSJ Special Interest Group on Music and Computer (IPSJ-SIGMUS), vol. 2022-MUS-134, no. 60, pp. 1–6, Online, June 2022 (in Japanese, non-reviewed).
    [Paper], [Poster]
  11. 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.
    [Paper]
  12. Fumiya Hasuike, Rui Watanabe, and Daichi Kitamura, "Basic study for permutation solver based on deep neural networks," IEICE Technical Report, EA2022-13, vol. 122, no. 20, pp. 62–67, Online, May 2022 (in Japanese, non-reviewed).
    [Paper], [Slide]

FY2021

  1. Taichi Hosotani, Daichi Kitamura, and Kohei Yatabe, "Independent low-rank matrix analysis using multiple time-frequency representations with different resolutions," Proceedings of 2022 Spring Meeting of Acoustical Society of Japan, 1-1P-2, pp. 307-310, Online, March 2022 (in Japanese, non-reviewed).
    [Paper], [Poster]
  2. Rui Watanabe, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Experimental analysis of fast audio source separation based on deep-neural-network-based frequency component prediction," Proceedings of Kansai Chapter of the Acoustical Society of Japan 24th Meeting for Young Researchers, p. 15, Online, December 2021 (in Japanese, non-reviewed).
    [Paper], [Poster]
  3. Yuta Iwase and Daichi Kitamura, "Statistical hypothesis testing of source separation based on nonnegative matrix factorization with cosine similarity penalty," Proceedings of Kansai Chapter of the Acoustical Society of Japan 24th Meeting for Young Researchers, p. 33, Online, December 2021 (in Japanese, non-reviewed).
    [Paper], [Poster]
  4. Keito Murata, Fumiya Hasuike, Shoya Kawaguchi, and Daichi Kitamura, "Introduction of Kitamura (Udon) laboratory," Proceedings of Kansai Chapter of the Acoustical Society of Japan 24th Meeting for Young Researchers, p. 54, Online, December 2021 (in Japanese, non-reviewed).
    [Paper], [Poster]
  5. 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.
    [Slide], [YouTube]
  6. 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.
    [Paper], [Slide], [YouTube]
  7. Daichi Kitamura, Toshiki Tada, Kotaro Ogawa, Minako Terao, and Kazuma Takenaka, "Prediction of source separation accuracy based on independent component analysis," Proceedings of the 2021 Annual Meeting of the Shikoku-section Joint Convention of the Institutes of Electrical and related Engineers (SJCIEE), p. 64, Online, September 2021 (in Japanese, non-reviewed).
    [Paper], [Slide]
  8. Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Music bleeding-sound reduction using nonnegative matrix factorization," Proceedings of 132nd IPSJ Special Interest Group on Music and Computer (IPSJ-SIGMUS), vol. 2021-MUS-132, no. 24, Online, September 2021 (in Japanese, non-reviewed).
    [Paper], [Slide]
  9. Rui Watanabe, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Fast audio source separation based on deep-neural-network-based frequency component interpolation with decimation indicator," Proceedings of 2021 Autumn Meeting of Acoustical Society of Japan, 1-1-14, pp. 155–158, Online, September 2021 (in Japanese, non-reviewed).
    [Paper], [Slide]
  10. Yuta Iwase and Daichi Kitamura, "Experimental evaluation of source separation based on nonnegative matrix factorization with cosine similarity penalty," Proceedings of 2021 Autumn Meeting of Acoustical Society of Japan, 2-1P-4, pp. 287–290, Online, September 2021 (in Japanese, non-reviewed).
    [Paper], [Poster]
  11. Masahiro Kamitaka, Kazuhiko Hayashi, Yuki Hasegawa, Masayuki Matsumoto, Daichi Kitamura, Takashi Yoshioka, and Yoshiki Uno, "The calculating methods on identifying arrival time of impact elastic waves in concrete," Proceedings of Japan Society of Civil Engineers 2021 Annual Meeting, V–324, Online, September 2021 (in Japanese, non-reviewed).
    [Paper]
  12. Daichi Kitamura, "Audio source separation based on independent low-rank matrix analysis and its extensions," IEICE Technical Report, SIP2021-32, vol. 121, no. 144, pp. 19–24, Online, August 2021 (in Japanese, non-reviewed, invited talk).
    [Paper], [Slide]
  13. 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.
    [Paper]
  14. Daichi Kitamura and Kaito Kozai, "Timbre conversion of musical instruments using basis-shared nonnegative matrix factorization," Proceedings of 131st IPSJ Special Interest Group on Music and Computer (IPSJ-SIGMUS), vol. 2021-MUS-131, no. 10, pp. 1–6, Online, June 2021 (in Japanese, non-reviewed).
    [Paper], [Poster]
  15. Daichi Kitamura, "The BEEtles!Let it "BEE" performed by four bees," MATLAB EXPO 2021 Japan Lightning Talk, June 10th, 2021 (Talk at the company's event).
    [YouTube]
  16. 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, Tronto, Canada, June 2021.
    [Paper], [Poster], [Slide], [YouTube]
  17. Kohei Yatabe and Daichi Kitamura, "Determined BSS based on time-frequency masking and its application to harmonic vector analysis," IEEE Transaction on Audio, Speech, and Language Processing, vol. 29, pp. 1609–1625, April 2021.
    [Paper]
  18. Daichi Kitamura, "Design of regular-examination-free lectures combining ondemand streaming for prior learning," Journal of the Japan Association for College of Technology, vol. 26, no. 2, pp. 9–14, April 2021 (in Japanese, non-reviewed, invited feature articles).
    [Paper], [Slide]

FY2020

  1. Daichi Kitamura and Kohei Yatabe, "Experimental evaluation of consistent independent low-rank matrix analysis," Proceedings of 2021 Spring Meeting of Acoustical Society of Japan, 1-1-2, pp. 121–124, Tokyo, March 2021 (in Japanese, non-reviewed).
    [Paper], [Slide]
  2. Kaito Kozai and Daichi Kitamura, "Analysis of common and individual components in musical instruments based on basis-shared nonnegative matrix factorization," Proceedings of 2021 Spring Meeting of Acoustical Society of Japan, 1-9-2, pp. 1109–1112, Tokyo, March 2021 (in Japanese, non-reviewed).
    [Paper], [Slide]
  3. Rui Watanabe, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Fast audio source separation based on deep-neural-network-based frequency component interpolation," Proceedings of 2021 Spring Meeting of Acoustical Society of Japan, 2-1-3, pp. 213–216, Tokyo, March 2021 (in Japanese, non-reviewed).
    [Paper], [Slide]
  4. Soichiro Oyabu, Daichi Kitamura, and Kohei Yatabe, "Blind source separation based on time-frequency mask using median-type HPSS," Proceedings of 2021 Spring Meeting of Acoustical Society of Japan, 2-1Q-18, pp. 411–414, Tokyo, March 2021 (in Japanese, non-reviewed).
    [Paper], [Poster]
  5. 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.
    [Paper], [Slide]
  6. 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.
    [Paper], [Slide]
  7. 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, p. 35, November 2020.
    [Paper]
  8. Nami Kajitani, Daichi Kitamura, and Kohei Ishii, "Heart rate estimation based on cepstrum analysis and MUSIC method using nail tip sensor," Proceedings of 35th Signal Processing Symposium, A1-4, pp. 5–10, Kochi, November 2020 (in Japanese, non-reviewed).
    [Paper], [Slide]
  9. Rui Watanabe, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, and Kazunobu Kondo, "Fast audio source separation using bandwidth expansion based on deep neural networks," Proceedings of 2020 Autumn Meeting of Acoustical Society of Japan, 1-1-7, pp. 131–134, Miyagi, September 2020 (in Japanese, non-reviewed).
    [Paper], [Slide]
  10. Shuhei Yamaji and Daichi Kitamura, "Experimental evaluation of deep permutation solver based on local time-frequency structure," Proceedings of 2020 Autumn Meeting of Acoustical Society of Japan, 2-R1-5, pp. 265–268, Miyagi, September 2020 (in Japanese, non-reviewed).
    [Paper], [Poster]
  11. Fuga Oshima, Masaki Nakano, and Daichi Kitamura, "Independent low-rank matrix analysis informed by user annotation," Proceedings of 2020 Autumn Meeting of Acoustical Society of Japan, 2-R1-6, pp. 269–272, Miyagi, September 2020 (in Japanese, non-reviewed).
    [Paper], [Poster]
  12. Soichiro Oyabu, Daichi Kitamura, and Kohei Yatabe, "Blind source separation based on exclusive mask obtained by harmonic/percussive source separation," Proceedings of 2020 Autumn Meeting of Acoustical Society of Japan, 2-R1-11, pp. 283–286, Miyagi, September 2020 (in Japanese, non-reviewed).
    [Paper]
  13. Nao Toshima, Daichi Kitamura, and Kohei Yatabe, "Independent low-rank matrix analysis based on spectrogram consistency," Proceedings of 2020 Autumn Meeting of Acoustical Society of Japan, 2-R1-13, pp. 291–294, Miyagi, September 2020 (in Japanese, non-reviewed).
    [Paper], [Poster]
  14. Masahiro Kamitaka, Kazuhiko Hayashi, Yuki Hasegawa, Daichi Kitamura, Takashi Yoshioka, and Yoshiki Uno, "Quality evaluation of concretes based on impact elastic wave method using impactor device," Proceedings of Japan Society of Civil Engineers Shikoku Branch 2020 Annual Meeting, jsce7-136-2020, Kagawa, May 2020 (in Japanese, non-reviewed).
    [Paper]

FY2019

  1. Kohei Yatabe and Daichi Kitamura, "HVA: harmonic vector analysis," Proceedings of 2020 Spring Meeting of Acoustical Society of Japan, 1-1-16, pp. 199–200, Saitama, March 2020 (in Japanese, non-reviewed).
    [Paper]
  2. Rui Watanabe and Daichi Kitamura, "Bandwidth expansion based on deep neural networks for audio source separation," Proceedings of 2020 Spring Meeting of Acoustical Society of Japan, 1-1-23, pp. 221–224, Saitama, March 2020 (in Japanese, non-reviewed).
    [Paper]
  3. Masaki Nakano and Daichi Kitamura, "Interactive audio source separation informed by user annotation," Proceedings of 2020 Spring Meeting of Acoustical Society of Japan, 2-P-38, pp. 421–424, Saitama, March 2020 (in Japanese, non-reviewed).
    [Paper]
  4. Yuta Iwase and Daichi Kitamura, "Semi-supervised nonnegative matrix factorization with cosine similarity penalty," Proceedings of 2020 Spring Meeting of Acoustical Society of Japan, 2-P-39, pp. 425–428, Saitama, March 2020 (in Japanese, non-reviewed).
    [Paper]
  5. Soichiro Oyabu, Daichi Kitamura, and Kohei Yatabe, "Linear blind source separation using time-frequency mask obtained by harmonic/percussive source separation," Proceedings of 2020 Spring Meeting of Acoustical Society of Japan, 3-1-16, pp. 313–316, Saitama, March 2020 (in Japanese, non-reviewed).
    [Paper]
  6. Shuhei Yamaji and Daichi Kitamura, "Deep permutation solver based on local time-frequency structure," Proceedings of 2020 Spring Meeting of Acoustical Society of Japan, 3-1-17, pp. 317–320, Saitama, March 2020 (in Japanese, non-reviewed).
    [Paper]
  7. Yuki Kawanabe, Daichi Kitamura, and Takeshi Kakimoto, "Applying of nonnegative matrix factorization for missing imputation in software development data," Proceedings of 26th Special Interest Group on Foundation of Software Engineering (FOSE 2019), pp. 175–176, Gifu, November 2019 (in Japanese, non-reviewed).
    [Paper], [Poster]
  8. Masahiro Kamitaka, Kazuhiko Hayashi, Yuki Hasegawa, Daichi Kitamura, and Yoshiki Uno, "Propagation velocity estimation of elastic wave in concretes for impact elastic wave method," Proceedings of Japan Society of Civil Engineers 2019 Annual Meeting, V-581, Kagawa, September 2019 (in Japanese, non-reviewed).
    [Paper]
  9. Daichi Kitamura, "Nonnegative matrix factorization based on complex generative model," Acoustical Science and Technology, vol. 40, no. 3, pp. 155–161, May 2020 (non-reviewed).
    [Paper]

FY2018

  1. Daichi Kitamura, "Nonnegative matrix factorization based on complex generative model and its application to audio source separation," The Journal of The Acoustical Society of Japan, vol. 75, no. 3, pp. 130–138, March 2020 (in Japanese, non-reviewed).
    [Paper]
  2. 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 (Tutorial on International Conference).
    [Paper], [Slide]