International Conference

2024

  • Shinji Sako, Kana Tatsumi, and Ramirez Rafael, "A study on visualization of music for scores and performances based on Chironomie", 15th International Workshop on Machine Learning and Music (MML), Sep. 2024.

2023

  • Kana Tatsumi, Shinji Sako, and Ramirez Rafael, "Music Visualization using Chironomie", The 24th conference of the International Society for Music Information Retrieval (ISMIR), LP-34, Nov. 2023.[PDF]
  • Bogdan Kwolek, and Shinji Sako, "Dynamic Hand Gesture Recognition for Human-Robot Collaborative Assembly", 22nd International Conference on Artificial Intelligence and Soft Computingpp. 112–121, Jun. 2023. [DOI]
  • Teppei Miura, Shinji Sako, "3D Ego-Pose Lift-Up Robustness Study for Fisheye Camera Perturbations", 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Vol. 4: pp. 600–606, Feb. 2023. [DOI]

2022

  • Kana Tatsumi, and Shinji Sako, "Visualization of Affective Information in Music Using Chironomie", 9th International Conference on Kansei Engineering and Emotion Research 2022 pp. 685–692, Sep. 2022. [DOI] [PDF]

2021

  • Takeru Shirai, and Shinji Sako, "3D skeleton motion generation of double bass from musical score", 15th International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 41–46, Nov. 2021. [PDF]
  • Teppei Miura, and Shinji Sako, "SynSLaG: Synthetic Sign Language Generator", The 23rd International ACM SIGACCESS Conference on Computers and Accessibility, No. 90, pp. 1–4, Oct. 2021. [DOI]

2020

  • Nguyen Tu Nam, Shinji Sako, Bogdan Kwolek, "Fingerspelling recognition using synthetic images and deep transfer learning", 2020 The 13th International Conference on Machine Vision (ICMV 2020), 11605, pp. 528–535, Nov. 2020. [DOI]

2019

  • Nam Tu Nguyen, Shinji Ssako and Bogdan Kwolek, "Deep CNN-based Recognition of JSL Finger Spelling", International Conference on Hybrid Artificial Intelligent Systems (HAIS), Lecture Notes in Computer Science book series (LNCS), pp.602–613, Sep. 2019. [DOI]
  • Keiko Watanabe, Yuji Nagashima, Daisuke Hara, Yasuo Horiuchi, Shinji Sako, Akira Ichikawa, "Construction of a Japanese Sign Language Database with Various Data Types", International Conference on Human-Computer Interaction (HCII2019), Communications in Computer and Information Science book series (CCIS), Vol. 1032, pp.317–322, Jul. 2019. [DOI]
  • Shinji Sako, Yuji Nagashima, Daisuke Hara, Yasuo Horiuchi, Keiko Watanabe, Ritsuko Kikusawa, Naoto Kato, Akira Ichikawa, "Discussion of a Japanese sign language database and its annotation systems with consideration for its use in various areas", LingCologne2019, Poster Nr. 24, Jun. 2019.

2018

  • Yuji Nagashima, Daisuke Hara, Shinji Sako, Keiko Watanabe, Yasuo Horiuchi, Ritsuko Kikusawa, Naoto Kato, Akira Ichikawa, "Constructing a Japanese Sign Language Multi-Dimensional Database", The 7th Meeting of Signed and SpokenLanguage Linguistics (SSLL 2018), Sep. 2018. [PDF]

2017

  • Bogdan Kwolek, and Shinji Sako, "Learning Siamese Features for Finger Spelling Recognition", Advanced Concepts for Intelligent Vision Systems, LNCS, Vol. 10617, pp.225–236, Sep. 2017. [DOI]
  • Shohei Awata, Shinji Sako, and Tadashi Kitamura, "Japanese Sign Language Recognition Based on Three Elements of Sign Using Kinect v2 Sensor", International Conference on Human-Computer Interaction 2017, 713, pp.95-102, Jul. 2017. [DOI]
  • Hana Hosoe, Shinji Sako, and Bogdan Kwolek, "Recognition of JSL Finger Spelling Using Convolutional Neural Networks", 15th IAPR International Conference on Machine Vision Applications, 04-12, pp.72–75, May. 2017. [DOI]

2016

  • Shohei Awata, Shinji Sako, and Tadashi Kitamura, "Vowel duration dependent hidden Markov model for automatic lyrics recognition", 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, General Topics in Musical Acoustics II (5pMU), Dec. 2016.
  • Ayako Noguchi, Shinji Sako, and Tadashi Kitamura, "Segmental Conditional Random FieldsAudio-to-Score Alignment Distinguishing Percussion Sounds From Other Instruments", 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan, General Topics in Signal Processing IV (2aSPb), Dec. 2016.
  • Shinji Sako, Mika Hatano, and Tadashi Kitamura, "Real-Time Japanese Sign Language Recognition Based on Three Phonological Elements of Sign”, Proc. Of HCII 2016, CCIS 618, pp.130–136, 2016. [DOI]

2015

  • Mika Hatano, Shinji Sako, and Tadashi Kitamura, "Contour-based Hand Pose Recognition for Sign Language Recognition", Proc. of 6th Workshop on Speech and Language Processing for Assistive Technologies, Sep. 2015. [PDF]
  • Shinji Sako, Wakana Nagata, and Tadashi Kitamura, "Violin fingering estimation according to the performer's skill level based on conditional random field", Proc. of HCII 2015, Human-Computer Interaction: Interaction Technologies, LNCS 9170, pp.485–494, Aug. 2015. [DOI]

2014

  • Wakana Nagata, Shinji Sako, and Tadashi Kitamura, "Violin Fingering Estimation According to Skill Level based on Hidden Markov Model", Joint conference of 40th ICMC (International Computer Music Conference) and 11th SMC (Sound & Music Computing conference), pp. 1233–1238, Sep. 2014. [PDF]
  • Kenta Okumura, Shinji Sako, and Tadashi Kitamura, "Laminae: A stochastic modeling-based autonomous performance rendering system that elucidates performer characteristics ", Joint conference of 40th ICMC (International Computer Music Conference) and 11th SMC (Sound & Music Computing conference), pp. 1271–1276, Sep. 2014. [PDF]
  • Shinji Sako, Ryuichi Yamamoto, and Tadashi Kitamura, "Ryry: A Real-Time Score-Following Automatic Accompaniment Playback System Capable of Real Performances with Errors, Repeats and", Active Media Technology Lecture Notes in Computer Science, LNCS 8610, pp. 134–145, Aug. 2014. [DOI]
  • Filip Malawski, Bogdan Kwolek, and Shinji Sako, "Using Kinect for Facial Expression Recognition under Varying Poses and Illumination", Active Media Technology Lecture Notes in Computer Science, LNCS 8610, pp. 395–406, Aug. 2014. [DOI]
  • Shinji Sako, Ai Zukawa, and Tadashi Kitamura, "A Study on Query-by-Any-Word Based Music Retrieval System", HCII 2014 Posters, Part I, CCIS 434, pp. 228–233, Jun. 2014. [DOI]

2013

  • Ai Zukawa, Shinji Sako, and Tadashi Kitamura, "Combination of Words and Music in Impression Space", 2013 International Workshop on Smart Info-Media Systems in Asia, pp. 345–350, Oct. 2013.
  • Shinji Sako, and Tadashi Kitamura, "Subunit Modeling for Japanese Sign Language Recognition Based on Phonetically Depend Multi-stream Hidden Markov Models", UAHCI/HCII 2013, Part I, LNCS 8009, pp. 548–555, Jul. 2013. [DOI]
  • Ryuichi Yamamoto, Shinji Sako, and Tadashi Kitamura, "Robust On-line Algorithm For Real-time Audio-to-score Alignment Based on A Delayed Decision and Anticipation Framework", International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 191–195, May. 2013. [DOI]
  • Ryuichi Yamamoto, Shinji Sako, and Tadashi Kitamura, "Accurate and Low Computational Audio-to-score Alignment Using Segmental CRF with An Explicit Continuous Tempo Model", International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP), pp. 345–348, Mar. 2013.

2012

  • Ryuichi Yamamoto, Shinji Sako, and Tadashi Kitamura, "Real-time Audio to Score Alignment Using Semi-Markov Conditional Random Fields and Linear Dynamical System", The Music Information Retrieval Evaluation eXchange (MIREX2012), Oct. 2012. [PDF]
  • Yasunori Iwatsuki, Shinji Sako and, Tadashi Kitamura, "An Estimation Method of Musical Emotion Considering Individuality by Human Profile", International Conference on Kansei Engineering and Emotion Research 2012, pp. 456–461, May 2012.
  • Yoshihiro Ono, Shinji Sako, Arao Funase, and Tadashi Kitamura, "A Study of the Influence on EEG Activity by Hearing Emotional Voice", International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP), pp. 289–292, Mar. 2012.

2011

  • Kenta Okumura, Shinji Sako, and Tadashi Kitamura, "Stochastic Modeling of a Musical Performance with Expressive Representations from the Musical Score", 12th International Society for Music Information Retrieval, pp. 531–536, Oct. 2011. [PDF]

2010

  • Koki Ariga, Shinji Sako, and Tadashi Kitamura, "HMM-based Sign Recognition in Consideration of Motion Diversity", 4th International Universal Communication Symposium (IUCS) 2010. pp. 258–261, Oct. 2010. [DOI]
  • Satoru Fukayama, Kei Nakatsuma, Shinji Sako, Takuya Nishimoto, Nobutaka Ono, and Shigeki Sagayama, "Automatic Song Composition form Lyrics with Singing Voice Synthesizer", Intersinging 2010, Oct. 2010.
  • Satoru Fukayama, Kei Nakatsuma, Shinji Sako, Takuya Nishimoto, and Shigeki Sagayama, "Automatic Song Composition from the Lyrics exploiting Prosody of the Japanese Language", 7th Sound & Mucis Computing conference (SMC), Jul. 2010. [PDF]

2009

  • Heiga Zen,Keiichiro Oura,Takashi Nose,Junichi Yamagishi,Shinji Sako,Tomoki Toda,Takashi Masuko,Alan W Black,Keiichi Tokuda,"Recent Development of the HMM-based Speech Synthesis System",Asia Pacific Signal and Information Processing Association (APSIPA), MP-SS1-2,Oct. 2009.
  • Satoru Fukayama, Kei Nakatsuma, Shinji Sako, Yu-ichiro Yonebayashi, Tae Hun Kim, Qin Si Wei, Takuho Nakano, Takuya Nishimoto, and Shigeki Sagayama, "Orpheus: Automatic Composition System Considering Prosody of Japanese Lyrics", International Conference on Entertainment Computing (ICEC), Lecture Notes in Computer Science, LNCS 5709, pp. 309–310, Sep. 2009. [DOI]
  • Yuya Takase,Shinji Sako, and Tadashi Kitamura, "Detection of Anomalous Environmental Electromagnetic Waves Based on Daily Average Using Hidden Markov Model", 6th International Conference on Networked Sensing Systems, p. 236,Jun. 2009. [DOI]

2007

  • Ikumi Ota, Ryo Yamamoto, Shinji Sako, and Shigeki Sagayama, "Online Handwritten Kanji Recognition Based on Inter-stroke Grammar", International Conference on Document Analysis and Recognition (ICDAR), Vol. 2, pp. 1188–1192, Sep. 2007. [DOI]
  • Heiga Zen, Takashi Nose, Junichi Yamagishi, Shinji Sako, Takashi Masuko, "The HMM-based speech synthesis system version 2.0", ISCA Workshop on Speech Synthesis (SSW6-2007), Aug. 2007. [PDF]

2006

  • Ryo Yamamoto, Shinji Sako, Takuya Nishimoto, and Shigeki Sagayama, "On-Line Recognition of Handwritten Mathematical Expressons Based on Stroke-Based Stochastic Context-Free Grammar", International Workshop on Frontiers of Handwriting Recognition (IWFHR), 2006. [INRIA]
  • Takuya Nishimoto, Shinji Sako, Shigeki Sagayama, Kazue Ohshima, Kochi Oda, and Takayuki Watanabe, "Effect of Learning on Listening to Ultra-Fast Synthesized Speech", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5691–5694, Sep. 2006. [DOI]
  • Mihoko Otake, Ryo Fukano, Shinji Sako, Masao Sugi, Kiyoshi Kotani, Junya Hayashi, Hiroshi Noguchi, Ryuichi Yoneda, Kenjiro Taura, Nobuyuki Otsu, and Tomomasa Sato, "Autonomous Collaborative Environment for Project Base d Learning", Intelligent Autonomous Systems 9 T. Arai et al. (Eds.) IOS Press, pp. 756–763, 2006. [DOI]

2004

  • Shinji Sako, Keiichi Tokuda, Shigeki Sagayama, "HMM-based singing voice synthesis system", New Interfaces for Musical Expression (RENCON worksop), Mar. 2004. [INRIA]
  • Takahiro Hoshiya, Heiga Zen, Shinji Sako, Keiichi Tokuda, Takashi Masuko, T. Kobayashi, Tadashi Kitamura, "An HMM-based approach to speaker-dependent 100 bit/s speech coding", Special Workshop in Maui (SWIM), p. 267, 2004.

2003

  • Tatsuhiko Yamaguchi, Shinji Sako, Hiroshi Yamamoto, and Genichiro Kikui, "Applying example-based error correction selectively", IEEE workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 162–165, 2003. [DOI]
  • Takahiro Hoshiya, Shinji Sako, Heiga Zen, Keiichi Tokuda, Takashi Masuko, Takao Kobayashi, Tadashi Kitamura, "Improving the performance of HMM-based very low bitrate speech coding", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. 1, pp. 800–803, Apr. 2003. [DOI]

2000

  • Shinji Sako, Keiichi Tokuda, Takashi Masuko, Takao Kobayashi, Tadashi Kitamura, "HMM-based Text-to-audio-visual Speech Synthesis", International Conference on Spoken Language Processing (ICSLP), Vol. 3, pp. 25–28, 2000. [PDF]