PUBLICATIONS

Journal

  1. T. Teshima, M. Niitsuma and H. Nishimura, “Gender affects perception and movement times during non-critical takeovers in conditionally automated driving,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 106, pp. 400–417, Oct. 2024, doi: 10.1016/j.trf.2024.08.004.
  2. Y. Yeo and M. Niitsuma, “Proposal of an integral model of human-food interaction: Insights for social systems design,” International Journal of Agile Systems Management (IJASM), vol. 17, no. 5, pp. 48–72, Aug. 2024, doi: 10.1504/IJASM.2024.10065834.
  3. T. Teshima, M. Niitsuma and H. Nishimura, “Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data,” Expert Systems with Applications, vol. 246, July. 2024, Art. no. 123153, doi: 10.1016/j.trf.2024.08.004.
  4. 秋山大知, 石川智希, 井本桂右, 新妻雅弘, 山西良典, 山下洋一, 音声を用いた感情認識のための学習話者の選択, 日本音響学会誌, 76巻, 10号, pp. 554–561 (2020.10).
  5. M. Niitsuma, Y. Tomita, W. Yan and D. Bell, “Towards musicologist-driven mining of handwritten scores,” IEEE Intelligent Systems, vol. 33, no. 4, pp. 24–34, Jul./Aug. 2018, doi: 10.1109/MIS.2018.111144115.
  6. 山本雄登, 新妻雅弘,山下洋一, 音声におけるパラ言語情報の認識のための学習話者の選択, 日本音響学会誌, 73巻, 8号, pp. 480–482 (2017.8).
  7. M. Niitsuma, L. Schomaker, J.-P. van Oosten, Y. Tomita and D. Bell, “Musicologist-driven writer identification in early music manuscripts,” Multimedia Tools and Applications, vol. 75, pp. 6463–6479, May. 2016, doi: 10.1007/s11042-015-2583-8.
  8. M. Niitsuma, M. Matsubara, M. Oono and H. Saito, “Development of a method for automatic basso continuo playing,” Information Processing & Management, vol. 47, no. 3, pp. 440–451, May. 2011, doi: 10.1016/j.ipm.2010.11.001.
  9. 新妻雅弘, 斎藤博昭, Random Forestを用いた音楽ジャンル分類, 情報処理学会論文誌, 50巻, 12号, pp. 1234–1247 (2009.12).

Conference Paper

  1. S. Fukuda, Y. Fukuda, M. Hosoda, A. Motomura, E. Sasao, M. Matsubara and M. Niitsuma, “Field study on children's home piano practice: Developing a comprehensive system for enhanced student-teacher engagement,” in Proceedings of the 25th International Society for Music Information Retrieval Conference (ISMIR 2024), San Francisco, CA, US, 2024, pp. 381–388.
  2. Y. Yeo and M. Niitsuma, “Reframing the role of behavioural interventions: Dominant views and new directions,” in Proceedings of the 31st ISTE International Conference on Transdisciplinary Engineering, London, UK, 2024, in Advances in Transdisciplinary Engineering, vol. 60, pp. 1049–1058, doi: 10.3233/ATDE240962.
  3. K. Y. Lung and M. Niitsuma, “How to prevent short-term usage: Clarifying wearer requirements through model-based systems approach and the mind-only school perspective,” in Proceedings of the 31st ISTE International Conference on Transdisciplinary Engineering, London, UK, 2024, in Advances in Transdisciplinary Engineering, vol. 60, pp. 391–400, doi: 10.3233/ATDE240884.
  4. K. Y. Lung and M. Niitsuma, “A model-based systems approach to clarify the interaction between wearer and sustainable fashion system,” poster abstract and poster in Proceedings of the 26th IFFTI Annual Conference (IFFTI 2024), Seoul, Korea, 2024, pp. 451–452, 527.
  5. Y. Yeo and M. Niitsuma, “Developing the system model of human behaviour and its implications on social systems design,” in Proceedings of the 30th ISTE International Conference on Transdisciplinary Engineering, Hua Hin, Thailand, 2023, in Advances in Transdisciplinary Engineering, vol. 41, pp. 561–570, doi: 10.3233/ATDE230651.
  6. Y. Yeo and M. Niitsuma, “A primer on the integral viewpoint of a human to facilitate human-centred innovation,” poster presented at the 30th ISTE International Conference on Transdisciplinary Engineering, Hua Hin, Thailand, July. 11–14, 2023.
  7. N. Tonami, K. Imoto, M. Niitsuma, R. Yamanishi and Y. Yamashita, “Joint analysis of acoustic events and scenes based on multitask learning,” in Proceedings of 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, 2019, pp. 338–342, doi: 10.1109/WASPAA.2019.8937196.
  8. K. Makino, M. Niitsuma, K. Imoto and Y. Yamashita, “Investigating the auditory effects of neighbor tones,” poster abstract in ICMPC15/ESCOM10: Abstract book, Graz, Austria, 2018, pp. 358–359.
  9. M. Niitsuma, Y. Yanagisawa, H. Demachi, K. Imoto and Y. Yamashita, “Identifying individualities of unconscious movements while music performance based on a directional tendency of the lumbosacral plexus,” poster abstract in ICMPC15/ESCOM10: Abstract book, Graz, Austria, 2018, pp. 345–346.
  10. K. Imoto, N. Ono, M. Niitsuma and Y. Yamashita, “Online sound structure analysis based on generative model of acoustic feature sequences,” in Proceedings of 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur, Malaysia, 2017, pp. 1316–1321, doi: 10.1109/APSIPA.2017.8282236.
  11. A. Morimoto, M. Niitsuma and Y. Yamashita, “Age estimation in Japanese speech based on feature selection,” poster abstract in Proceedings of the 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, Honolulu, HI, USA, 2016, pp. 3445, doi: 10.1121/1.4971116.
  12. Y. Yamamoto, M. Niitsuma and Y. Yamashita, “Automatic recognition of negative emotion in speech using support vector machine” poster abstract in Proceedings of the 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, Honolulu, HI, USA, 2016, pp. 3400, doi: 10.1121/1.4970909.
  13. C. Terayama, M. Niitsuma and Y. Yamashita, “Development of a communication system using audio signal using audible frequency bands,” poster abstract in Proceedings of the 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, Honolulu, HI, USA, 2016, pp. 3062, doi: 10.1121/1.4969533.
  14. M. Niitsuma, L. Schomaker, J.-P. van Oosten and Y. Tomita, “Writer identification in old music manuscripts using Contour-Hinge feature and dimensionality reduction with an autoencoder,” in Proceedings of the 15th international conference on Computer Analysis of Images and Patterns (CAIP 2013), York, UK, 2013, in Lecture Notes in Computer Science, vol. 8048, pp. 555–562, doi: 10.1007/978-3-642-40246-3_69.
  15. C. Bohak, M. Niitsuma and M. Marolt, “Controlling Mozart’s Dice Music using acceleration sensors,” in Proceedings of International Computer Music Conference 2012 (ICMC 2012), Ljubljana, Slovenia, 2012, pp. 293–296.
  16. M. Niitsuma and Y. Tomita, “Classifying Bach’s handwritten C-clefs,” in Proceedings of International Conference on Music Information Retrieval 2011 (ISMIR 2011), Miami, FL, USA, 2011, pp. 417–421.
  17. M. Niitsuma, T. Fujinami and Y. Tomita, “The intersection of computational analysis and music manuscripts: A new model for Bach source studies of the 21st century,” in Proceedings of the 10th International Conference on Music Information Retrieval (ISMIR 2009), Kobe, Japan, 2009, pp. 519–523.
  18. M. Niitsuma, H. Takaesu, H. Demachi, M. Oono and H. Saito, “An automatic music selection system reflecting users’ running speed,” in Proceedings of International Symposium on Computer Music Modeling and Retrieval 2008 (CMMR 2008), Copenhagen, Denmark, 2008, pp. 223–231.
  19. M. Niitsuma, H. Takaesu, H. Demachi, M. Oono and H. Saito, “Development of an automatic music selection system based on the runner’s step frequency,” in Proceedings of International Conference on Music Information Retrieval 2008 (ISMIR 2008), Philadelphia, PA, USA, 2008, pp.193–198.
  20. M. Niitsuma, M. Matsubara, M. Oono and H. Saito, “Development of an automatic basso continuo playing system for Baroque music performers,” in Proceedings of the 10th International Conference on Music Perception and Cognition (ICMPC 2008), Sapporo, Japan, 2008, pp.162–168.
  21. M. Niitsuma and H. Saito, “Automatic thorough-bass realization in Baroque music,” in Proceedings of International Computer Music Conference 2007 (ICMC 2007), Copenhagen, Denmark, 2007, pp. 425–428.

Conference Paper(Domestic)

  1. 秋山大知, 石川智希, 井本桂右, 新妻雅弘, 山西良典, 山下洋一, 単一発話での学習話者選択を用いた音声における感情認識, 日本音響学会2019年秋季研究発表会講演論文集, 2-Q-1, pp. 879–882 (2019.9).
  2. DI Chongru, 井本桂右, 新妻雅弘, 山西良典, 山下洋一, 物理的特徴からの音楽印象推定における日中比較, 日本音響学会2019年春季研究発表会講演論文集, 3-1-10, pp. 1227–1230 (2019.3).
  3. 砺波紀之, 井本桂右, 新妻雅弘, 山西良典, 山下洋一, マルチタスク学習に基づく音響シーンとイベントの同時分析, 日本音響学会2019年春季研究発表会講演論文集, 2-6-6, pp. 261–262 (2019.3).
  4. 石川智希, 井本桂右, 新妻雅弘, 山西良典, 山下洋一, 感情音声認識のための学習話者選択に関する検討, 日本音響学会2018年秋季研究発表会講演論文集, 2-Q-8, pp. 1055–1058 (2018.9).
  5. 金田光平, 新妻雅弘, 井本桂右, 山西良典, 山下洋一, 音声における快-不快の程度推定のための学習データの検討, 日本音響学会2018年秋季研究発表会講演論文集, 2-Q-7, pp. 1053–1054 (2018.9).
  6. LIN YUHAN, 新妻雅弘, 井本桂右, 山西良典, 山下洋一, 多数話者データで学習するDNN 音声合成システム, 日本音響学会2018年秋季研究発表会講演論文集, 1-R-33, pp. 1161–1164 (2018.9).
  7. 向田和幸, 新妻雅弘, 井本桂右, 山下洋一, 山西良典, 楽曲推薦のためのCM楽曲の印象評価, 日本音響学会2018年春季研究発表会講演論文集, 1-12-15, pp. 801–804 (2018.3).
  8. 新妻雅弘, 井本桂右, 山下洋一, 音楽演奏時無為動作の個人性, 日本音響学会2018年春季研究発表会講演論文集, 1-12-2, pp. 773–774 (2018.3).
  9. 新妻雅弘, 井本桂右, 山下洋一, 運動特性と音楽的感受性, 日本音響学会2017年秋季研究発表会講演論文集, 2-9-8, pp. 811–812 (2017.9).
  10. 向田和幸, 新妻雅弘, 井本桂右, 山下洋一, 山西良典, 物理特徴量を用いた商品イメージに適したCM楽曲の自動分類, 日本音響学会2017年秋季研究発表会講演論文集, 2-9-2, pp. 795–798 (2017.9).
  11. 井本桂右, 小野順貴, 新妻雅弘, 山下洋一, 分散マイクロホンアレイを用いた音響空間ワードの生成モデルに基づく音響シーン分類, 日本音響学会2017年秋季研究発表会講演論文集, 1-P-18, pp. 699–702 (2017.9).
  12. 金田光平, 新妻雅弘, 井本桂右, 山下洋一, 音声における感情認識のための快-不快の程度の自動推定, 日本音響学会2017年秋季研究発表会講演論文集, 1-R-20, pp. 109–112 (2017.9).
  13. 李世川, 新妻雅弘, 井本桂右, 山下洋一, 他言語話者で学習したモデルによる音声の感情認識, 日本音響学会2017年秋季研究発表会講演論文集, 1-R-19, pp. 105–108 (2017.9).
  14. 石川智希, 新妻雅弘, 井本桂右, 山下洋一, 学習話者の選択を用いた音声における感情の認識, 日本音響学会2017年秋季研究発表会講演論文集, 1-R-18, pp. 101–104 (2017.9).
  15. 李世川, 石川智希, 新妻雅弘, 井本桂右, 山下洋一, DNNを用いた音声における感情認識, 電子情報通信学会技術研究報告, SP2017-24, pp. 25–28 (2017.8).
  16. 寺山千尋, 新妻雅弘, 山下洋一, 音信号への情報埋め込みを用いた携帯端末向け情報通信システムの開発, 電子情報通信学会技術研究報告, EA2016-118, pp. 207–212 (2017.3).
  17. 森本淳, 新妻雅弘, 山下洋一, 特徴量選択における音声からの年齢推定, 日本音響学会2016年秋季研究発表会講演論文集, 2-Q-18, pp. 169–172 (2016.9).
  18. 山本雄登, 新妻雅弘, 山下洋一, サポートベクターマシンを用いた音声におけるネガティブ感情, 日本音響学会2016年秋季研究発表会講演論文集, 2-Q-7, pp. 53–56 (2016.9).
  19. 寺山千尋, 新妻雅弘, 山下洋一, 可聴域の帯域を用いた音による情報通信システムの開発, 日本音響学会2016年秋季研究発表会講演論文集, 1-P-38, pp. 515–518 (2016.9).
  20. 銭コウ, 森勢将雅, 新妻雅弘, 山下洋一, 非可聴域の音信号を用いた音信号通信における性能改善の検討, 日本音響学会2015年春季研究発表会講演論文集, 1-Q-19, pp. 721–724 (2015.3).
  21. 小田原一成, 新妻雅弘, 山下洋一,音声中の検索語検出における共起情報の検討, 日本音響学会2015年春季研究発表会講演論文集, 1-P-7, pp. 111–114 (2015.3).
  22. 小田原一成, 新妻雅弘, 山下洋一, 共起単語情報を用いた音声中の検索語検出, 日本音響学会2014年秋季研究発表会講演論文集, 2-Q-4, pp. 121–124 (2014.9).
  23. 銭コウ, 森勢将雅, 新妻雅弘, 山下洋一, 高周波帯域を用いた音信号への情報埋め込みの検討, 日本音響学会2014年秋季研究発表会講演論文集, 1-R-16, pp. 99–100 (2014.9).