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LSPC人と音の情報学研究室
Laboratory for Sound and People with Computing

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研究業績

英文ジャーナル／Journal and Book Articles in English

in ACM Style as below.

  • Author(s). Year. Title. Journal Volume, Number (Mth. Year), Page–Page.
  • Author(s). Year. Title. In Book, Editor(s) (Ed(s).). Publisher, Address, Page–Page.
  1. Makiko Sadakata, Yasumasa Yamaguchi, Chie Ohsawa, Masaki Matsubara, Hiroko Terasawa, Andres Von Schnehen, Daniel Müllensiefen, and Kaoru Sekiyama. 2023. The Japanese translation of the Gold-MSI: Adaptation and validation of the self-report questionnaire of musical sophistication. Musicae Scientiae 27, , 798-810.[PDF]
  2. Makiko Sadakata, Yasumasa Yamaguchi, Chie Ohsawa, Masaki Matsubara, Hiroko Terasawa, Andres von Schnehen, Daniel Müllensiefen, Kaoru Sekiyama. 2022. Gold-MSI: Adaptation and validation of the self-report questionnaire of musical sophistication. Musicae Scientiae, , .[PDF]
  3. Hiroko Terasawa, Masaki Matsubara, Visda Goudarzi and Makiko Sadakata. 2021. Music in Quarantine: Connections Between Changes in Lifestyle, Psychological States, and Musical Behaviors During COVID-19 Pandemic. Frontiers in Psychology Vol.12, 2021, .
  4. Noah R.Fram, Visda Goudarzi, Hiroko Terasawa and Jonathan Berger. 2021. Collaborating in Isolation: Assessing the Effects of the Covid-19 Pandemic on Patterns of Collaborative Behavior Among Working Musicians. Front. Psychol., 19 (July 2021), 2766.[PDF]
  5. Masaki Iguchi, Ryosuke Nakagawa, and Hiroko Terasawa. 2019. Sound design for auditory biofeedback and motor performance in participants with stroke: a pilot study. Topics in Stroke Rehabilitation 26, 6 (June 2019), 418–422.
  6. Masaki Iguchi, Masaki Matsubara, Hideki Kadone, Hiroko Terasawa, and Kenji Suzuki. 2018. Comparative Effects of Auditory Electromyographic Biofeedback for Participants Who Are Blind and Sighted. Perceptual and Motor Skills 125, 4 (Aug. 2018), 732–748.
  7. Yuki Nakayama, Yuji Takano, Masaki Matsubara, Kenji Suzuki, and Hiroko Terasawa. 2017. The Sound of Smile: Auditory Biofeedback of Facial EMG Activity. Displays 47, (Apr. 2017), 32–39.
  8. Masaki Matsubara, Masaki Iguchi, Takahiro Oba, Hideki Kadone, Hiroko Terasawa, and Kenji Suzuki. 2015. Wearable Auditory Biofeedback Device for Blind and Sighted Individuals. IEEE Multimedia 22, 1 (Feb. 2015), 68–73.[PDF]
  9. Sungyoung Kim, Teruaki Kaniwa, Hiroko Terasawa, Takeshi Yamada, and Shoji Makino. 2013. Inter‑subject differences in personalized technical ear training and the influence of an individually optimized training sequence. Acoustical Science and Technology 34, 6 (June 2013), 424–431.[PDF]
  10. Hiroko Terasawa, Jonathan Berger, and Shoji Makino. 2012. In Search of a Perceptual Metric for Timbre: Dissimilarity Judgments among Synthetic Sounds with MFCC‑Derived Spectral Envelopes. Journal of the Audio Engineering Society 60, 9 (Sep. 2012), 674–685.[PDF]
  11. Aki Hayashi, Takayuki Itoh, and Masaki Matsubara. 2012. Colorscore: Visualization and Condensation of Structure of Classical Music. In Knowledge Visualization Currents: From Text to Art to Culture, Francis T. Marchese and Ebad Bannisi (Eds.). Springer‑Verlag, London, 113–128.

国際学会プロシーディング／Proceedings of International Conferences

in ACM Style as below.

  • Author(s). Year. Title. In Proceedings (Conf.), Editor(s) (Ed(s).). Publisher, Address, Page–Page.
  • Author(s). Year. Title. Journal Volume, Number (Mth. Year), Page–Page.
  1. Yuya Yamamoto. 2023. Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies. Proceedings of the 15th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023). 1745-1752. [PDF]
  2. Yuya Yamamoto, Juhan Nam, Hiroko Terasawa. 2023. PrimaDNN’:A Characteristics-aware DNN Customization for Singing Technique Detection. Proceedings of the 31st European Signal Processing Conference (EUSIPCO 2023). 406-410. [PDF]
  3. Yuya Yamamoto, Juhan Nam, Hiroko Terasawa. 2022. Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers. The 23rd International Society for Music Information Retrieval Conference (ISMIR 2022). 384-391. [PDF]
  4. Shiho Akaki, Rumi Hiraga, Keiichi Yasu, Keiji Tabuchi, and Hiroko Terasawa. 2022. Design and Evaluation of Instrument Sound Identification Difficulty for the Deaf and Hard-of Hearing. the 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022). 724-729. [PDF]
  5. Yoshiteru Matsumoto, Hiroyoshi Ito, Hiroko Terasawa, Yuya Yamamoto, Yuzuru Hiraga, and Masaki Matsubara. 2022. Human-In-The-Loop Chord Progression Generator With Generative Adversarial Network. the 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022). 612-618. [PDF]
  6. Yuya Yamamoto, Juhan Nam, Hiroko Terasawa. 2022. Deformable CNN and Imbalance-aware Feature Learning for Singing Technique Classification. In Proceedings of the 23rd Annual Conference of the International Speech Communication Association INTERSPEECH 2022. [PDF]
  7. Yuya Yamamoto, Juhan Nam, Hiroko Terasawa, and Yuzuru Hiraga.. 2021. Investigating Time-Frequency Representations for Audio Feature Extraction in Singing Technique Classification. In Proceedings of the 2021 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2021).. 890-896. [PDF]
  8. Yuya Yamamoto, Daichi Moriyama, Juhan Nam, and Hiroko Terasawa. 2021. Towards Computational Analysis of Singing Technique for Music Information Retrieval: A Progress Report of Building Dataset and Statistical Analysis. The 3rd Japan-Taiwan Symposium on Psychological and Physiological Acoustics Jointly held with ASJ Auditory Research Meeting.
  9. Yoshiteru Matsumoto, Masaki Matsubara, Hiroyoshi Ito, Hiroko Terasawa, and Yuzuru Hiraga. 2021. Discussion on the development of feedback-based generation system for chord progressions. The 3rd Japan-Taiwan Symposium on Psychological and Physiological Acoustics Jointly held with ASJ Auditory Research Meeting.
  10. Shiho Akaki, Daichi Moriyama, Kenta Wakasa, Rumi Hiraga, Keiichi Yasu, Keiji Tabuchi, and Hiroko Terasawa. 2021. Consideration on the Difficulty of Timbre Identification of Musical Instrument Sounds for Hearing Training of the Hearing Impaired. The 3rd Japan-Taiwan Symposium on Psychological and Physiological Acoustics Jointly held with ASJ Auditory Research Meeting.
  11. Shiomi Yasuhiro, Sakai Shiho, Terasawa Hiroko. 2020. Intuitive Representation of Traffic Flow Dynamics: Application of Data Sonification. In Proceedings of 2020 IEEE Forum on Integrated and Sustainable Transportation Systems (FISTS).
  12. Hayato Mitsui, Hiroko Terasawa, Takayuki Hamano, Norihisa Miki and Kiyoshi Furukawa. 2020. Can we really use ERP for media arts? Assessing the feasibility of P300 detection for interactive performances. In Proceedings of International Conference for Asia Digital Art and Design 2020(ADADA 2020). [Best Paper Award]
  13. Hiroko Terasawa, Reiko Hoshi‑Shiba, and Kiyoshi Furukawa. 2019. Embodiment and Interaction as Common Ground for Emotional Experience in Music. In Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR 2019), Mitsuko Aramaki, Olivier Derrien, Richard Kronland‑Martinet, Sølvi. Ystad (Eds.). PRISM, Marseille, 777–788.
  14. Hiroko Terasawa, Kenta Wakasa, Hideki Kawahara, and Ken‑Ichi Sakakibara. 2019. Investigating the Physiological and Acoustic Contrasts Between Choral and Operatic Singing. In Proceedings of the 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019. 2025–2029.
  15. Kazuma Shamoto, Hiroko Terasawa, and Hiroshi Itsumura. 2019. The effect of reverberated speech on working memory: Toward an optimal balance of calmness and liveliness in libraries. In Proceedings of the 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 (ICA 2019), Martin Ochmann, Michael Vorländer, and Janina Fels (Eds.). Deutsche Gesellschaft für Akustik, Berlin, 4537–4544.
  16. Masaki Matsubara, Yuki Ishiwa, Yui Uehara, and Satoshi Tojo. 2018. Computational Detection of Local Cadence on Revised TPS. In Proceedings of the third conference on Computer Simulation of Musical Creativity (CSMC2018). pp.79–87.
  17. Kenta Wakasa, Hiroko Terasawa, Ken‑Ichi Sakakibara, and Yuzuru Hiraga. 2018. The Analysis of Choral and Bel‑Canto Singing with Acoustical Features and EGG Measurement. In Abstracts of the Voice Foundation’s 47th Annual Symposium: Care of the Professional Voice. 176–176.
  18. Megumi Satou, Tetsuro Kitahara, Hiroko Terasawa, and Masaki Matsubara. 2017. Relationships between Abdominal and Around‑Lip Muscle Activities and Acoustic Features when Playing the Trumpet. In Proceedings of the 2017 International Symposium on Musical Acoustics (ISMA 2017), Gary Scavone, Esteban Maestre, and Song Wang (Eds.). Schulich School of Music, McGill University, Montreal, 114–117. [Best Student Paper Awards]
  19. Kenta Wakasa, Masaki Matsubara, Yuzuru Hiraga, and Hiroko Terasawa. 2017. Acoustic Characteristics of Pressed and Normal Phonations in Choir Singing by Male Singers. In Proceedings of the 2017 International Symposium on Musical Acoustics (ISMA 2017), Gary Scavone, Esteban Maestre, and Song Wang (Eds.). Schulich School of Music, McGill University, Montreal, 136–139.
  20. Kazuma Shamoto, Mai Ikawa, Hiroshi Itsumura, Koji Ishida, and Hiroko Terasawa. 2017. Acoustical measurement of modern Japanese libraries. The Journal of the Acoustical Society of America 141, 5 (June 2017), 3542–3542. [Abstract Only]
  21. Masaki Matsubara, Yota Morimoto, and Takahiko Uchide. 2016. Collaborative study of interactive seismic array sonification for data exploration and public outreach activities. In Proceedings of the 5th Interactive sonification Workshop (ISon 2016), Jiajun Yang, Thomas Hermann, and Roberto Bresin (Eds.). CITEC, Bielefeld University, Bielfeld, 56–60.
  22. Masaki Matsubara, Takafumi Kodama, and Satoshi Tojo. 2016. Revisiting Cadential Retention in GTTM. In Proceedings of 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE 2016), Minh Le Nguyen, Le Sy Vinh, Lam Thu Bui, Van‑Giang Nguyen, Yew‑Soon Ong, and Keiji Hirata (Eds.). IEEE, Piscataway, NJ, 218–223.
  23. Shoki Sakamoto, Masaki Matsubara, Sean Arn, and Satoshi Tojo. 2016. Harmonic analysis based on Tonal Pitch Space. In Proceedings of the 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE 2016), Minh Le Nguyen, Le Sy Vinh, Lam Thu Bui, Van‑Giang Nguyen, Yew‑Soon Ong, and Keiji Hirata (Eds.). IEEE, Piscataway, NJ, 230–233.
  24. Yuuki Yuno, Masaki Matsubara, Kei Tabaru, Hiroko Terasawa, and Rumi Hiraga. 2016. Discrimination and identification of environmental sounds among people with hearing impairment. The Journal of the Acoustic Society of America 140, 4 (Oct. 2016), 3153–3153. [Abstract Only]
  25. Megumi Satou, Tetsuro Kitahara, Hiroko Terasawa, and Masaki Matsubara. 2016. Analysis of the relationship between muscle activity and acoustic features during trumpet play and the construction of a myoelectric visual feedback system. The Journal of the Acoustic Society of America 140, 4 (Oct. 2016), 3379–3379. [Abstract Only]
  26. Tetsuro Kitahara and Masaki Matsubara. 2016. Extracting Melodic Contour Using Wavelet‑based Multi‑resolution Analysis. In Proceedings of the 9th International Workshop on Machine Learning and Music (MML 2016), Rafael Ramirez, Darrell Conklin, and José Manuel Iñesta (Eds.). ACM, New York, NY, 31–35.
  27. Cao Chong, Masaki Matsubara, Hiroko Terasawa, and Yuzuru Hiraga. 2016. A Comparison of Rhyme in Japanese and Chinese Lyrics among Cover Songs. In Proceedings of International Conference on Media Usage and Cross‑cultural Communication under the Digital Era. Faculty of Library, Information and Media Science, University of Tsukuba, Tsukuba‑shi, Ibaraki‑ken,
  28. Rumi Hiraga, Yuu Kato, Masaki Matsubara, Hiroko Terasawa, and Kei Tabaru. 2016. A Learning System For Environmental Sounds on Tablets: Toward a Teaching Resource for Deaf and Hard of Hearing Children. In Proceedings of the Conference Universal Learning Design, Linz 2016 (ULD 2016), Petr Peňáz, Michaela Hanousková, and Svatoslav Ondra (Eds.). Masaryk University, Brno, 31–34.
  29. Rumi Hiraga, Kjetil F. Hansen, Naoya Kano, Masaki Matsubara, Hiroko Terasawa, and Keiji Tabuchi. 2015. Music perception of hearing‑impaired persons with focus on one test subject. In Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Lisa O’Conner (Ed.). IEEE, Piscataway, NJ, 2407–2412.
  30. Masaki Matsubara and Takahiko Uchide. 2015. Interactive multiple seismic waves sonification for data exploration. In Abstract Book of the International Workshop on Time Series Data Sonification (TSDS 2015). 5–5. [Abstract Only]
  31. Yuki Nakayama, Yuji Takano, Masaki Matsubara, Kenji Suzuki, and Hiroko Terasawa. 2015. EMG smile sonification. In Abstract Book of the International Workshop on Time Series Data Sonification (TSDS 2015). 6–6. [Abstract Only]
  32. Hiroko Terasawa. 2015. Auditory gestalt, interaction, and emotion: perceptual and cognitive issues in data sonification of biological data. In Abstract Book of the International Workshop on Time Series Data Sonification (TSDS 2015). 10–10. [Abstract Only]
  33. Masaki Matsubara and Yuki Imoto. 2015. Towards a collaborative ethnography of chamber music performance: A cognitive and socio‑anthropological study of amateur western classical musicians in Japan. In Abstracts of the International Symposium on Performance Science 2015 (ISPS 2015), Aaron Williamon and Masanobu Miura (Eds.). Ryukoku University, Kyoto‑shi, Kyoto‑fu, 52–53.
  34. Takaaki Sakino, Takayuki Hamamoto, Makiko Sadakata, Masaki Matsubara, Takuro Shibayama, Hidefumi Ohmura, and Hiroko Terasawa. 2015. The influence of expressive accompaniment on a player’s emotion and expressive nuances in a percussive duo performance. In Abstracts of the International Symposium on Performance Science 2015 (ISPS 2015), Aaron Williamon and Masanobu Miura (Eds.). Ryukoku University, Kyoto, 144–145.
  35. Yuki Nakayama, Yuji Takano, Masaki Matsubara, Kenji Suzuki, and Hiroko Terasawa. 2015. Real‑time smile sonification using surface EMG signal and the evaluation of its usability. In Proceedings of the 21st International Conference on Auditory Display (ICAD 2015), Katharina Vogt, Areti Andreopoulou, and Visda Goudarzi (Eds.). Institute of Electronic Music and Acoustics, University of Music and Performing Arts Graz, Graz, Styria, 152–156. [PDF]
  36. Hiroko Terasawa, Yota Morimoto, Masaki Matsubara, Akira Sato, Makoto Ohara, and Masatoshi Kawarasaki. 2015. Guiding auditory attention toward the subtle components in electrocardiography sonification. In Proceedings of the 21st International Conference on Auditory Display (ICAD 2015), Katharina Vogt, Areti Andreopoulou, and Visda Goudarzi (Eds.). Institute of Electronic Music and Acoustics, University of Music and Performing Arts Graz, Graz, Styria, 231–235. [PDF]
  37. Naoya Kano, Masaki Matsubara, Hiroko Terasawa, and Rumi Hiraga. 2015. Development and short‑term evaluation of tapping game for hearing impaired students. In Abstracts of the 15th Rhythm Production and Perception Workshop (RPPW 2015).
  38. Takaaki Sakino, Takayuki Hamano, Makiko Sadakata, Masaki Matsubara, Takuro Shibayama, Hidefumi Ohmura, and Hiroko Terasawa. 2015. The influence of accompaniment in the performance of percussion. In Abstracts of the 15th Rhythm Production and Perception Workshop (RPPW 2015).
  39. Tetsuro Kitahara, Shogo Matsukata, Masaki Matsubara, and Hiroko Terasawa. 2014. A Preliminary Experiment of Predicting Muscle Activity from Musical Acoustic Features. In Proceedings of the 7th International Workshop on Machine Learning and Music (MML 2014). 10–11.
  40. Masaki Matsubara, Hiroko Terasawa, and Rumi Hiraga. 2014. The effect of musical experience on rhythm perception for hearing‑impaired undergraduates. In Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014). 1666–1669.
  41. Rumi Hiraga and Masaki Matsubara. 2014. Appreciating Harmony: differences between the hearing‑impaired, musically inexperienced, and musically experienced. In Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014). 3464–3469.
  42. Masaki Matsubara, Keiji Hirata, and Satoshi Tojo. 2014. Distance in Pitch Sensitive Time‑span Tree. In Proceedings of the ICMC|SMC|2014 Joint Conference (ICMC|SMC|2014). 1166–1171.
  43. Masaki Matsubara, Hiroko Terasawa, Kjetil F. Hansen, and Rumi Hiraga. 2014. An Inquiry into Hearing‑Impaired Student’s Musical Activities: How Do They Listen to the Music? In Proceedings of the ICMPC‑APSCOM 2014 Joint Conference, Moo Kyoung Song (Ed.). 385–385. [Abstract Only]
  44. Teruaki Kaniwa, Hiroko Terasawa, Masaki Matsubara, Shoji Makino, and Tomasz M. Rutkowski. 2014. Elegtroencephalogram Steady State Response Sonification Focused on the Spatial and Temporal Properties. In Proceedings of the 20th International Conference on Auditory Display (ICAD 2014). 1–7. [PDF]
  45. Masaki Matsubara, Hideki Kadone, Masaki Iguchi, Hiroko Terasawa, and Kenji Suzuki. 2013. The Effectiveness of Auditory Biofeedback on a Tracking Task for Ankle Joint Movements in Rehabilitation. In Proceedings of the 4th Interactive Sonification Workshop (ISon 2013), Norberto Degara, Andy Hunt, and Thomas Hermann (Eds.). 81–86. [PDF]
  46. Shogo Matsukata, Hiroko Terasawa, Masaki Matsubara, and Tetsuro Kitahara. 2013. Muscle Activity in Playing Trumpet: The Dependence on the Playable Pitch Region and the Experience of a Non‑trumpet Brass Instrument Player. In Proceedings of the Stockholm Musical Acoustics Conference 2013 (SMAC 2013), Roberto Bresin and Anders Askenfelt (Eds.). Logos Verlag, Berlin, 529–533.
  47. Masaki Iguchi, Masaki Matsubara, Hideki Kadone, Hiroko Terasawa, and Kenji Suzuki. 2013. How is auditory EMG biofeedback effective for blind people? In Proceedings of the 19th International Conference on Auditory Display (ICAD 2013). 307–310. [PDF]
  48. Takayuki Hamano, Tomasz M. Rutkowski, Hiroko Terasawa, Kazuo Okanoya, and Kiyoshi Furukawa. 2013. Generating an Integrated Musical Expression with a Brain‑Computer Interface. In Proceedings of the 13th International Conference on New Interfaces for Musical Expression (NIME 2013). 49–54. [PDF]
  49. Teruaki Kaniwa, Hiroko Terasawa, Masaki Matsubara, Tomasz M. Rutkowski, and Shoji Makino. 2012. EEG Steady‑State Synchrony Patterns Sonification. In Proceedings of the 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2012). IEEE, Piscataway, NJ, 1–6. [PDF]
  50. Masaki Matsubara, Hiroko Terasawa, Hideki Kadone, Kenji Suzuki, and Shoji Makino. 2012. Sonification of Muscular Activity in Human Movements using the Temporal Patterns in EMG. In Proceedings of the 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2012). IEEE, Piscataway, NJ, 1–5. [PDF]
  51. Masaki Matsubara, Satoshi Kuribayashi, Haruka Nukariya, Yasuaki Kakehi. 2012. CyclingMusic & CyclingMelody: A System for Enriching Scenery Experience in Cycling by Real‑Time Synaesthetic Sonification of Passing Landscape. In Proceedings of the 34th Annual Meeting of the Cognitive Science Society (CogSci 2012), Naomi Miyake, David Peebles, and Richard P. Cooper (Eds.). Cognitive Science Society, Austin, TX, 2775–2775. [Abstract Only]
  52. Hiroko Terasawa, Josef Parvizi, and Chris Chafe. 2012. Sonifying ECoG Seizure Data with Overtone Mapping: a Strategy for Creating Auditory Gestalt from Correlated Multichannel Data. In Proceedings of the 18th International Conference on Auditory Display (ICAD 2012), Michael A. Nees, Bruce N. Walker, and Jason Freeman (Eds.). International Community for Auditory Display, 129–134. [PDF]
  53. Hiroko Terasawa, Yuta Takahashi, Keiko Hirota, Takayuki Hamano, Takeshi Yamada, Akiyoshi Fukamizu, and Shoji Makino. 2011. C. Elegans Meets Data Sonification: Can We Hear its Elegant Movement? In Proceedings of the 8th Sound and Music Computing Conference (SMC 2011), Serena Zanolla, Federico Avanzini, Sergio Canazza, and Amalia de Götzen (Eds.). Padove University Press, Padova, 77–82. [PDF]
  54. Teruaki Kaniwa, Sungyoung Kim, Hiroko Terasawa, Masahiro Ikeda, Takeshi Yamada, and Shoji Makino. 2011. Towards a Personalized Technical Ear Training Program: An Investigation of the Effect of Adaptive Feedback. In Proceedings of the 8th Sound and Music Computing Conference (SMC 2011), Serena Zanolla, Federico Avanzini, Sergio Canazza, and Amalia de Götzen (Eds.). Padove University Press, Padova, 439–443. [PDF]

和文ジャーナル／Journal and Book Articles in Japanese

情報処理学会論文誌形式

  • 著者：標題，雑誌名，Vol. 巻，No. 号，pp. ページ ‐ ページ (西暦年)．
  1. 山本雄也, 中野倫靖, 後藤真孝, 寺澤洋子：ポピュラー音楽の模倣歌唱における歌唱テクニック分析と楽譜情報との対応付け，情報処理学会論文誌，Vol.64，No.10，pp.1423-1437 (2023)．＜特選論文＞
  2. 寺澤洋子, 社本和磨, 逸村裕, 岡部晋典：小特集—公共空間の音ユニバーサルデザインに向けて— 明日の図書館の「音」 ——対話と体験によって循環をつくる——，日本音響学会誌，Vol.77，No.5，pp.314-322 (2021)．
  3. 酒井紫帆, 塩見康博, 寺澤洋子：車両感知器パルスデータの可聴化による交通状態判別性能の評価，土木学会論文集D3（土木計画学），Vol.75，No.6，pp.625-636 (2020)．
  4. 寺澤洋子：小特集――音のデザイン――豊かな社会の実現に向けて――データ可聴化と音デザイン――時系列信号の可聴化に着目して，日本音響学会誌，Vol.74，No.11，pp.618-623 (2018)．
  5. 松原正樹，狩野直哉，寺澤洋子，平賀瑠美：聴覚障害者向けタッピングゲームにおける視覚手がかりによるリズム認知の短期的学習効果，情報処理学会論文誌，Vol.57，No.5，pp.1331-1340 (2016)．[with English Abstract] [Titled in English as Short‑term Learning Effect on Rhythm Cognition in a Tapping Game with Visual Cues by Hearing‑impaired People]
  6. 松原正樹：小特集――音楽情報処理による障害者支援 No.4 身の回りを「聴こえる化」する――視覚障害者のための可聴化技術，情報処理，Vol.57，No.3，pp.262-265 (2016)．[Titled in English as Pervasive Music Information Processing Systems for Handicapped Persons No. 4: Make the Everyday Things Audible――Sonification Technology for Visually Impaired People]
  7. 内出崇彦，武田直人，長郁夫，松原正樹，今西和俊，白濱吉起，落唯史，木口努：2015 年産総研一般公開チャレンジコーナー「地盤の揺れるようすを目の前で見てみよう！」，GSJ 地質ニュース，Vol.5，No.1，pp.27-30 (2016)．
  8. 松原正樹：日常生活を彩る『認知科学』，認知科学，Vol.21，No.4，pp.433-434 (2014)．[Titled in English as Enrich Your Everyday Things with COGNITIVE]
  9. 大村英史，柴山拓郎，寺澤洋子，星（柴）玲子，川上愛，吹野美和，岡ノ谷一夫，古川聖：音楽情動研究の動向――歴史・計測・理論の視点から，日本音響学会誌，Vol.69，No.9，pp.476-478 (2013)．[Titled in English as Review of musical emotion] [PDF]
  10. 寺澤洋子，星（柴）玲子，柴山拓郎，大村英史，古川聖，牧野昭二，岡ノ谷一夫：特集――芸術の認知科学――身体機能の統合による音楽情動コミュニケーションモデル，認知科学，Vol.20，No.1，pp.112-129 (2013)．[with English Abstract] [Titled in English as Feature: Cognitive Science of Arts—A Network Model for the Embodied Communication of Musical Emotions]〈奨励賞〉 [PDF]
  11. 松原正樹，深山覚，奥村健太，寺村佳子，大村英史，橋田光代，北原鉄朗：創作過程の分類に基づく自動音楽生成研究のサーベイ，コンピュータソフトウェア，Vol.30，No.1，pp.101-118 (2013)．[with English Abstract] [Titled in English as A Survey of Automatic Music Generation Systems based on Creative Process Framework]
  12. 松原正樹，諏訪正樹，斎藤博昭：インタラクティブな楽譜色付けによるオーケストラスコア理解支援システム，人工知能学会論文誌，Vol.27，No.5，pp.281-295 (2012)．[with English Abstract] [Titled in English as An Interactive Learning‑aid System for Analytical Comprehension of Music by Highlighting Orchestral Score in Colors]

国内学会プロシーディング／Proceedings of National Conferences

情報処理学会論文誌形式

  • 著者：標題，雑誌名，Vol. 巻，No. 号，pp. ページ ‐ ページ (西暦年)．
  1. 赤木志帆，山岸慎平，古川茂人，寺澤洋子：オンライン聴覚実験における再生環境の違いが両耳ピッチ知覚に及ぼす影響，日本音響学会2024年秋季研究発表会講演論文集，pp.891-894 (2024)．
  2. 橋田 光代 , 矢倉 大夢 , 中野 倫靖 , 山脇 稜平 , 上原 由衣 , 白石 慶太 , 山本 雄也 , 城戸 伊吹 , 岩本 祐輝 , 湯谷 承将 , 浜中 雅俊 , 松浦 実央 , 小原 祥与 , 山本 遥己 , 三上 薫 , 前田 哲徳 , 伊豆 梨沙 , 平山 音果 , 髙橋 利孔 , 前場 雄晴 , 釜石 健太郎 , 中澤 一輝：MUS139国際会議既発表・デモセッション，情報処理学会研究報告，Vol.2024-MUS-139，No.20，pp.1-2 (2024)．
  3. 松本 馨輝 , 松原 正樹 , 寺澤 洋子：VAEを用いたバリエーション生成による共創的作曲システム，情報処理学会研究報告，Vol.2024-MUS-139，No.10，pp.1-9 (2024)．
  4. 丸山あかね，田渕経司，平賀瑠美，小谷野依久，寺澤洋子：人工内耳装用者の音楽聴取に関する調査，聴覚研究会資料，Vol.54，No.1，pp.51-56 (2024)．
  5. 松本馨輝, 佐久間亨, 小林真：弱視学生の身体運動解析学習を支援する筋電アニメーションシステム，第206回ヒューマンインタフェース学会研究会研究報告，Vol.25，No.9，pp.23-28 (2023)．
  6. 伊勢谷賢司, 寺澤洋子：ジャズ・ポピュラー音楽演奏のための音楽構造情報可視化システム，音楽音響研究会資料，Vol.42，No.6，pp.1-6 (2023)．
  7. Li Su, 佐藤 可直, Tsung-ping Chen, 吉井 和佳, 安引 海翔, 青柳 西蔵, 服部 哲, 平井 辰典, 本多 賢, 丸塚 凌, 上瀧 剛, 太田 竣, 霍見 一希, 山口 恭正, 韓 焱, 山本 雄也, 酒向 慎司, 辰巳 花菜, 田中 愛菜, 浜中 雅俊, 河原 英紀：MUS138国際会議既発表・デモセッション，情報処理学会研究報告，Vol.2023-MUS-138，No.18，pp.1-2 (2023)．
  8. 湯谷承将 , 山本雄也 , 中谷秀洋 , 寺澤洋子：CVAEを用いたウェーブテーブル合成の意味的な音色制御，情報処理学会研究報告，Vol.2023‐MUS‐137，No.8，pp.1-7 (2023)．<音学シンポジウム学生優秀発表賞>
  9. 山本雄也：歌声識別タスクのための事前学習済み自己教師ありフロントエンドの調査，情報処理学会研究報告，Vol.2023-MUS-137，No.18，pp.1-8 (2023)．
  10. 千葉湧河, 寺澤洋子, 松井淑恵：和音の印象特徴量の計算モデルの再検討および拡張，日本音響学会研究会2023年春季研究発表会講演論文集 (2023)．
  11. 宮下隼, 河原英紀, 榊原健一, 寺澤洋子：朗読における感情表現と発話様式プロファイル，音響学会誌，Vol.79，No.2 (2023)．
  12. 澤村 拓樹, 長坂 らも, 湯谷 承将, 釜石 健太郎, 廣田 曜, 平井 辰典, 池永 考志, 木野 伊祐, 半田 尚暉：第9回国際会議既発表・デモ・萌芽・議論セッション，情報処理学会研究報告，Vol.2023-MUS-136，No.8，pp.1-1 (2023)．
  13. 松本馨輝, 松原正樹, 伊藤寛祥, 寺澤洋子, 平賀譲：人間からのフィードバックに基づく和音進行自動生成システム，音楽音響研究会資料 (2022)．
  14. 三井颯人 , 若狭健太 , 平賀瑠美 , 安啓一 , 田渕経司 , 寺澤洋子：聴覚障害者のメロディ認知におけるピッチ変形とリズム変形の効果，情報処理学会研究報告，Vol.2022‐AAC‐18，No.5 (2022)．
  15. 赤木志帆 , 森山大地 , 若狭健太 , 平賀瑠美 , 安啓一 , 田渕経司 , 寺澤洋子：聴覚障害者の楽器音認知に関する検討 -楽器分類に着目して-，情報処理学会研究報告，Vol.2022-AAC-18，No.6 (2022)．
  16. 山本雄也, 叢悠悠, 島村龍太郎, 菅野幸夫, 北原鉄朗, 糸山克寿：第 7 回国際会議既発表・デモ・萌芽・議論セッション，情報処理学会研究報告，Vol.2022‐MUS‐133，No.No.7 (2022)．[Abstract Only]
  17. 山本雄也, 中野倫靖, 後藤真孝, 寺澤洋子, 平賀譲：ポピュラー音楽における模倣歌唱を用いた歌唱テクニックの頻度・特徴・生起箇所の分析，情報処理学会研究報告，Vol.2021‐MUS‐132，No.20 (2021)．[PDF]〈ベストプレゼンテーション賞 (Best Research 部門) 〉, 〈山下記念研究賞〉
  18. 山本雄也，Juhan Nam，寺澤洋子，平賀譲：歌唱テクニックの識別におけるHand-crafted特徴量と深層学習特徴量の比較，情報処理学会研究報告，Vol.2021‐MUS‐130，No.30 (2021)．[with English Abstract] [Titled in English as A comparison of hand-crafted feature and deep-extracted feature on singing technique classification][PDF]
  19. 寺澤洋子，水野真由美，山本雄也,大中悠生,石川嘉秀,松井淑恵,安啓一：加齢性難聴に伴うポピュラーソングの印象変化の検討～模擬難聴を用いて，日本音響学会 2019 年秋季研究発表会講演論文集 (2020)．
  20. 三井颯人，寺澤洋子，濱野峻行，星（柴）玲子，三木則尚，古川聖：脳波音楽における ERP 測定に関する検討，先端芸術音楽創作学会会報，Vol.12，No.1，pp.25-31 (2020)．[Titled in English as Assessing the feasibility of ERP measurement for artistic performances]
  21. 大中悠生，安啓一，松井淑恵，寺澤洋子：加齢性難聴者のサイン音認知の研究にむけて，情報処理学会研究報告，Vol.2020‐AAC‐12，No.24 (2020)．[Titled in English as A Pilot Study on Sign‑Sound Perception with Age‑Related Hearing Loss]
  22. 河合優理子，寺澤洋子，平賀瑠美：聴覚障害者を対象とした 3 パート曲のリズム認知に関する研究，情報処理学会研究報告，Vol.2020‐AAC‐12，No.25 (2020)．[Titled in English as Rhythm recognition of three‑part songs by deaf and hard of hearing persons]
  23. 寺澤洋子，相馬翔太，安啓一，平賀瑠美：聴覚障害者の調性認知に関する検討，情報処理学会研究報告，Vol.2020‐AAC‐12，No.26 (2020)．[Titled in English as Recognition of Tonality by Persons with Hearing Impairment]
  24. 深山覚，藤田良祐，河原英紀，大矢隼士，下道雄太，山本雄也，須山夢菜，丸山新世，関晋之介，澤田恭平，類家怜央，渡邉一樹，城田晃希，塚本康太，中島凱斗，櫻沢繁，武田郁弥，名畑皓正：第 2 回音楽情報科学萌芽・デモ・議論セッション，情報処理学会研究報告，Vol.2020‐MUS‐126，No.4 (2020)．[Abstract Only]
  25. 社本和磨，逸村裕，寺澤洋子：図書館における知的活動支援のための音環境検討――ざわめきはワーキングメモリを阻害するか？，日本音響学会 2019 年秋季研究発表会講演論文集，pp.1159-1162 (2019)．[Titled in English as Sound environment examination for supporting intellectual activity in libraries: Does a murmur disturb working memory?]
  26. 酒井紫帆，塩見康博，寺澤洋子：高速道路における車両感知器データの可聴化，日本音響学会 2019 年秋季研究発表会講演論文集，pp.1169-1170 (2019)．
  27. 寺澤洋子，松井淑恵，安啓一，Liu Yi‑Wen：聴こえづらい人も過ごしやすい音環境に向けて，日本音響学会 2019 年秋季研究発表会講演論文集，pp.1323-1324 (2019)．
  28. 大中悠生，安啓一，松井淑恵，寺澤洋子：加齢性難聴者の環境音認知把握に向けた実環境音分析，情報処理学会研究報告，日本音響学会 2019 年秋季研究発表会講演論文集，pp.1337-1340 (2019)．[Titled in English as Environmental sound analysis for understanding environmental sound recognition of age‑related deaf people]
  29. 宮澤響，平賀譲：ポピュラー音楽のセクション識別におけるメロディ情報の有効性，情報処理学会研究報告，Vol.2019‐MUS‐124，No.6 (2019)．[with English Abstract] [Titled in English as Significance of melodic information in section identification tasks of popular music][PDF]〈ベストプレゼンテーション賞〉
  30. 森山治紀，平賀譲：Attention‑based LSTM を用いたクラシック楽曲の時代識別，情報処理学会研究報告，Vol.2019‐MUS‐124，No.7 (2019)．[with English Abstract] [Titled in English as Attention‑based LSTM for Period Identification of Classical Music][PDF]
  31. 山本雄也，平賀譲：歌いやすさ・歌いにくさに着目した楽曲検索システムのためのポピュラー楽曲の歌唱難易度算出の検討，情報処理学会研究報告，Vol.2019‐MUS‐124，No.9 (2019)．[PDF]〈学生奨励賞〉
  32. 池田周平，平賀譲：ジャズ即興演奏のための自動伴奏と半自動演奏アプリケーションの検討，情報処理学会研究報告，Vol.2019‐MUS‐123，No.16 (2019)．[PDF]
  33. 山本雄也，平賀譲：ポピュラー音楽の歌唱における主観的難易度と音楽的要因の調査，日本音楽知覚認知学会 2019 年度春季研究発表会資料，pp.1-6 (2019)．[Titled in English as Singing Difficulty of Japanese Popular Songs: Subjective Evaluation and their Relation to Musical Features]
  34. Liao Hsueh‑Wei，Liu Tzu‑Chi，Liu Yi‑Wen，松井淑恵，大中悠生，社本和磨，寺澤洋子，安啓一：Soundscapes in Japan and Taiwan――Initial study towards inclusive sound design for hearing‑impaired elderly people，日本音響学会 2019 年春季研究発表会講演論文集，pp.5-5 (2019)．[English Abstract Only]
  35. 宮澤響，平賀譲：暗意実現モデルに基づくポピュラー音楽のセクション分析，情報処理学会第 81 回全国大会講演論文集，pp.371-372 (2019)．〈学生奨励賞〉
  36. 若狭健太，榊原健一，平賀譲，寺澤洋子：生理・音響的特徴量分析によるオペラ歌唱と合唱歌唱の比較検討，日本音響学会 2018 年秋季研究発表会講演論文集，pp.17-17 (2018)．[Abstract Only]
  37. 湯野悠希，寺澤洋子，松原正樹，平賀瑠美，田原敬：聴覚障害者の環境音同定に関する報告――オープンセット課題における解答の傾向，情報処理学会研究報告，Vol.2018‐AAC‐7，No.1 (2018)．
  38. 池田周平，平賀譲：ジャズにおける複数の演奏者にわたるアドリブの構造分析，情報処理学会研究報告，Vol.2018‐MUS‐119，No.22 (2018)．
  39. 内出崇彦，森本洋太，松原正樹：動的誘発地震の探索のための地震波可聴化，日本地球惑星科学連合 2018 年大会予稿集，Vol.S‐SS10‐P08，pp.1-2 (2018)．[Abstract Only] [Titled in English as Sonification of Seismograms for Exploring Dynamic Triggering Earthquakes]
  40. 加藤優，平賀瑠美，若月大輔，寺澤洋子，松原正樹：視覚情報を併用した環境音学習の有効性――重度の聴覚障害者を対象とする場合，日本音響学会 2018 年春季研究発表会講演論文集，pp.7-7 (2018)．[Abstract Only]
  41. 湯野悠希，松原正樹，平賀瑠美，田原敬，寺澤洋子：聴覚障害者の環境音同定に影響を及ぼす音響特徴量の検討，日本音響学会 2018 年春季研究発表会講演論文集，pp.14-14 (2018)．[Abstract Only]
  42. 社本和磨，逸村裕，伊川真以，寺澤洋子：室内音響測定を用いた図書館の音環境に関する調査，日本音響学会 2018 年春季研究発表会講演論文集，pp.32-32 (2018)．[Abstract Only]
  43. 佐藤愛，福田梨沙，小幡哲史，棚瀬廉人，寺澤洋子，平賀譲，松原正樹：トランペット演奏における呼吸制御に関わる筋活動と音響的特徴との関係，日本音響学会 2018 年春季研究発表会講演論文集，pp.85-85 (2018)．[Abstract Only]
  44. 若狭健太，寺澤洋子，平賀譲，榊原健一：声帯振動に着目したオペラ歌唱と合唱歌唱の比較研究，日本音響学会 2018 年春季研究発表会講演論文集，pp.109-109 (2018)．[Abstract Only]
  45. 宮澤響，平賀譲：ポピュラー音楽における人間のサビ認識に関する研究，情報処理学会研究報告，Vol.2018‐MUS‐118，No.27 (2018)．[with English Abstract] [Titled in English as A study of human chorus‑section recognition in popular music][PDF]〈学生奨励賞〉
  46. 黒崎友，平賀譲：RWC 楽器音データベースを利用したビブラート音の複数楽器にわたる比較分析，情報処理学会研究報告，Vol.2017‐MUS‐117，No.2 (2017)．
  47. 寺澤洋子：生体信号の「動き」を音にする，日本音響学会 2017 年秋季研究発表会講演論文集，pp.1-1 (2017)．[Abstract Only]
  48. 井口正樹，中川稜介，寺澤洋子，松原正樹，門根秀樹，鈴木健嗣：脳卒中片麻痺患者に対する聴覚バイオフィードバックを用いた、足関節の運動学習効果，第 36 関東甲信越ブロック理学療法士学会，Vol.36，pp.134-134 (2017)．[Abstract Only]
  49. 湯野悠希，松原正樹，田原敬，寺澤洋子，平賀瑠美：聴覚障害者の環境音同定における音響特徴の考察，情報処理学会研究報告，Vol.2017‐AAC‐4，No.1 (2017)．
  50. 加藤優，平賀瑠美，若月大輔，松原正樹，寺澤洋子：聴覚障害者のための視覚情報を併用した環境音学習の基礎的検討，情報処理学会研究報告，Vol.2017‐AAC‐4，No.2 (2017)．[with English Abstract] [Titled in English as Towards Building a Learning System for Environmental Sounds for Deaf Children: an introductory study on the effectiveness of sound information visualization in learning]
  51. 東条敏，平田圭二，松原正樹，大村英史：楽曲の木構造に対する代数的操作，人工知能学会全国大会論文集，Vol.JSAI2017，No.2C4‐OS‐20b‐2 (2017)．[with English Abstract] [Titled in English as Algebraic Operation on Tree Structures in Music]
  52. 中山雄貴，松原正樹，鈴木健嗣，寺澤洋子：弱視者の笑顔認識の傾向に関する調査，情報処理学会研究報告，Vol.2016‐AAC‐2，No.1 (2016)．〈学生奨励賞〉
  53. 狩野直哉，松原正樹，寺澤洋子，平賀瑠美：タッピングゲームの長期的な利用を通じた聴覚障害者のリズム認知能力に関する検討，情報処理学会研究報告，Vol.2016‐AAC‐2，No.8 (2016)．[Titled in English as Investigation about hearing‑impaired people’s rhythm‑cognition ability by means of their long‑term use of tapping game]
  54. 崎野峻光，貞方マキ子，平賀譲，松原正樹，濱野峻行，寺澤洋子：ドラムアンサンブル演奏における視覚情報の影響――即興演奏と情動体験に着目して，音楽音響研究会資料，Vol.35，No.4，pp.17-22 (2016)．
  55. 佐藤愛，松原正樹，北原鉄朗，寺澤洋子，平賀譲：筋活動および音響的特徴の可視化によるトランペット練習支援システム，音楽音響研究会資料，Vol.35，No.4，pp.73-78 (2016)．[Titled in English as Support system for playing the trumpets using visualization of muscle activity and acoustic features]
  56. 東条敏，平田圭二，浜中雅俊，長尾確，北原鉄朗，大村英史，松原正樹，吉井和佳：統計的文法理論と構成的意味論に基づく音楽理解の計算モデル，情報処理学会研究報告，Vol.2016‐MUS‐112，No.4 (2016)．[with English Abstract] [Titled in English as Computational Model of Music Recognition, Based on Statistical Grammar Theory and Constructive Semantics]
  57. 湯野悠希，松原正樹，田原敬，寺澤洋子，平賀瑠美：聴覚障害者の環境音知覚における弁別と同定の比較，情報処理学会研究報告，Vol.2016‐AAC‐1，No.19 (2016)．[Titled in English as Comparison between discrimination and identification in perception of environmental sounds of hearing impairments]
  58. 中川稜介，寺澤洋子，松原正樹，井口正樹：足関節運動の可聴化における音デザインの評価，情報処理学会研究報告，Vol.2016‐AAC‐1，No.21 (2016)．[Titled in English as Evaluation of Sound design in Sonification of the Ankle joint exercise]
  59. 松原正樹，東条敏，小玉昂史：GTTM におけるカデンツ発見アルゴリズム，人工知能学会全国大会論文集，Vol.JSAI2016，No.3G4‐OS‐15b‐2 (2016)．[with English Abstract] [Titled in English as On Cadential Retention in GTTM]
  60. 内出崇彦，森本洋太，松原正樹：データ探索のための地震波可聴化，日本地球惑星科学連合 2016 年大会予稿集，Vol.S‐SS28，pp.26-26 (2016)．[Abstract Only] [Titled in English as Seismic audification and sonification for data exploration]
  61. 加藤優，平賀瑠美，松原正樹，寺澤洋子，田原敬：タブレットを用いた環境音学習システム――聴覚障害児のための教材を目指して，情報処理学会第 78 回全国大会講演論文集，pp.701-702 (2016)．〈学生奨励賞〉
  62. 佐藤愛，北原鉄朗，寺澤洋子，松原正樹：トランペット演奏時の口唇周囲および腹部の筋活動と音響的特徴の関係，日本音響学会 2016 年春季研究発表会講演論文集，pp.917-920 (2016)．
  63. 湯野悠希，松原正樹，田原敬，寺澤洋子，平賀瑠美：聴覚障害者を対象とする環境音聴取テスト作成に向けた弁別と同定に関する比較検討，日本音響学会 2016 年春季研究発表会講演論文集，pp.1465-1468 (2016)．
  64. 伊藤隆浩，松原正樹，寺澤洋子，平賀瑠美：聴覚障害学生を対象とした音域・エンベロープを手がかりとする楽器音識別トレーニングの作成と評価，日本音響学会 2016 年春季研究発表会講演論文集，pp.1627-1630 (2016)．
  65. 加藤優，平賀瑠美，松原正樹，寺澤洋子，田原敬：環境音とコンテクスト理解を支援するシステム――聴覚障害児のための環境音学習システム，電子情報通信学会技術研究報告，Vol.115，No.491，pp.1-5 (2016)．[with English Abstract] [Titled in English as A System for Understanding Environmental Sounds and their Contexts: A learning system for deaf and hard of hearing children]
  66. 大島千佳，寺澤洋子，馬場哲晃，平賀瑠美，松原正樹：インクルーシブ音楽情報処理，情報処理学会研究報告，Vol.2015‐MUS-109，No.5 (2015)．
  67. 松原正樹，東条敏，平田圭二：GTTM タイムスパン木における構造レヴェルの導入と代数表現，人工知能学会全国大会論文集，Vol.JSAI2015，No.2C5‐OS‐21b‐4 (2015)．[with English Abstract] [Titled in English as Structural Level on GTTM Time‑span Tree and its algebraic expression]
  68. 平賀譲：音楽における構文性とパターン性，人工知能学会全国大会論文集，Vol.JSAI2015，No.2C5‐OS‐21b‐5 (2015)．[with English Abstract] [Titled in English as Syntactic and pattern structures in music]
  69. 平田圭二，東条敏，浜中雅俊，長尾確，北原鉄朗，松原正樹，吉井和佳：木構造に基づく時系列メディア表現法の提案とその操作系の実現に向けて，情報処理学会研究報告，Vol.2015‐MUS‐106，No.21 (2015)．
  70. 松原正樹，松井淑恵，林勇吾：聴覚刺激を用いた異なる視点に基づく協同問題解決に関する実験的検討，第 31 回日本認知科学会大会発表論文集，pp.698-704 (2014)．[with English Abstract] [Titled in English as A Laboratory Study on Collaborative Problem Solving by Taking Different Perspectives with Auditory Stimuli]
  71. 狩野直哉，松原正樹，寺澤洋子，平賀瑠美：聴覚障害学生に向けたタッピングゲームの開発と印象調査，情報処理学会研究報告，Vol.2014‐MUS‐104，No.4 (2014)．
  72. 平田圭二，東条敏，浜中雅俊，松原正樹：Beyond GTTMism――音楽の意味論と計算体系，情報処理学会研究報告，Vol.2014‐MUS‐104，No.20 (2014)．[Titled in English as Beyond GTTMism: Semantics and Calculus of Music]
  73. 松原正樹，Kjetil F. Hansen，寺澤洋子，平賀瑠美：聴覚障害学生の聴能向上のための音楽トレーニングプロジェクト，情報処理学会研究報告，Vol.2014‐MUS‐103，No.2 (2014)．
  74. 松原正樹，東条敏，平田圭二：音楽理論 GTTM に基づく木構造を用いた旋律の認知的類似度の導出――バッハ BWV582 パッサカリアとフーガの分析を例に，人工知能学会全国大会論文集，Vol.JSAI2014，No.1K4‐OS‐07a‐2 (2014)．[with English Abstract] [Titled in English as Cognitive Similarity Grounded by Tree Distance based on GTTM: from the Analysis of BWV582]
  75. 平賀譲：音楽の構造・認知と音楽理論，人工知能学会全国大会論文集，Vol.JSAI2014，No.1K5‐OS‐07b‐1 (2014)．[with English Abstract] [Titled in English as Music theory as seen from music structure and cognition]