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]
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, 高松, 2023年9月(査読無).
[Paper], [Slide]
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]
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]
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]
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]
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]
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]
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]
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]
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, 2021年6月10日(イベントにおける講演).
[YouTube]
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]
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]
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]
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]
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]
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]
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]
Hiroshi Sawada, Nobutaka Ono, Hirokazu Kameoka, Daichi Kitamura, and Hiroshi Saruwatari,
"APSIPA Sadaoki Furui Prize Paper Award," Asia-Pcific Signal and Information Processing
Association, 15th December, 2021.
APSIPA Sadaoki Furui Prize Paper Awardは過去5年間の掲載論文の中から毎年1編選出される論文賞であり,下記の論文が受賞となった
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.
[Topic], [About]
Daichi Kitamura, "2019 IEEE Signal Processing Society Young Author Best Paper Award,"
IEEE Signal Processing Society, 12th December, 2019.
IEEE SPS Young Author Best Paper
AwardはIEEE誌の掲載論文の中から信号処理分野に関する論文で30最未満の優れた論文の著者を顕彰する賞であり,下記の論文が受賞となった
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.
[Topic], [About]
Shinichi Mogami, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi,
Kazunobu Kondo, Hiroaki Nakajima, and Nobutaka Ono, "APSIPA ASC 2018 Best Paper Award,"
Asia-Pcific Signal and Information Processing Association, 20th November, 2018.
APSIPA ASC Best Paper Awardは国際会議APSIPA ASCの採択論文の中か選出される論文賞であり,下記の論文が受賞となった
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, pp.
1684–1691, 2018.