Journal (International)

  1. Eita Nakamura, Kazuyoshi Yoshii, and Simon Dixon, “Note Value Recognition for Rhythm Transcription Using a Markov Random Field Model for Musical Scores and Performances of Piano Music”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25, No. 9, pp. 1846-1858, 2017.
  2. Eita Nakamura, Kazuyoshi Yoshii, and Shigeki Sagayama, “Rhythm Transcription of Polyphonic Music Based on Merged-Output HMM for Multiple Voices”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 25, No. 4, pp. 794-806, 2017.
  3. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, and Kazuyoshi Yoshii, “Generative Statistical Models with Self-Emergent Grammar of Chord Sequences”, Journal of New Music Research, pp. 1-23, 2018.
  4. Shugo Yamaguchi, Shunsuke Saito, Koki Nagano, Yajie Zhao, Weikai Chen, Shigeo Morishima, Hao Li, “High-Fidelity Facial Reflectance and Geometry Inference from an Unconstrained Image”, ACM Transactions on Graphics, Vol. 37, Issue 4, No. 162, 2018.
  5. Kosetsu Tsukuda, Keisuke Ishida, Masahiro Hamasaki, and Masataka Goto, “Songrium Derivation Factor Analysis: A Web Service for Browsing Derivation Factors by Modeling N-th Order Derivative Creation”, IEICE Transactions on Information and Systems, Vol.E101-D, No.4, pp.1096-1106, 2018.
  6. Kento Watanabe, Yuichiroh Matsubayashi, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, and Masataka Goto, “Modeling Storylines in Lyrics”, IEICE Transactions on Information and Systems, Vol.E101-D, No.4, pp.1167-1179, 2018.
  7. Yuki Koyama and Masataka Goto, “Decomposing Images into Layers with Advanced Color Blending”, Computer Graphics Forum, Vol.37, No.7, pp.397-407, 2018.
  8. Eita Nakamura, Kazuyoshi Yoshii, “Statistical Piano Reduction Controlling Performance Difficulty”, APSIPA Transactions on Signal and Information Processing, Vol. 7, No. e13, pp. 1–12, 2018.
  9. Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Chord-Aware Automatic Music Transcription Based on Hierarchical Bayesian Integration of Acoustic and Language Models,” APSIPA Transactions on Signal and Information Processing, Vol. 7, No. e14, pp. 1–14, 2018.
  10. Masataka Goto and Roger B. Dannenberg, “Music Interfaces Based on Automatic Music Signal Analysis: New Ways to Create and Listen to Music”, IEEE Signal Processing Magazine (Special Issue on Music Signal Processing), Vol.36, No.1, pp.74-81, 2019.
  11. Yugo Sato, Tsukasa Fukusato, Shigeo Morishima,”Interactive Face Retrieval Framework for Clarifying User’s Visual Memory”, ITE Transactions on Media Technology and Applications, Vol.1, Issue.2, pp.68-79, 2019.
  12. Yuki Koyama and Masataka Goto, “Precomputed Optimal One-Hop Motion Transition for Responsive Character Animation”, The Visual Computer (International Journal of Computer Graphics), 35, 6-8, pp.1131-1142, June 2019.
  13. Takahiro Kuge, Tatsuya Yatagawa, Shigeo Morishima, “Real-Time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights”, Computer Graphics Forum, Vol.38, Issue 7, pp.449-460, 2019.
  14. Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii, “Statistical Learning and Estimation of Piano Fingering”, Information Sciences, Vol. 517, pp.68-85, 2020.
  15. Tomoya Yamaguchi, Tatsuya Yatagawa, Yusuke Tokuyoshi, Shigeo Morishima, “Real-time Rendering of Layered Materials with Anisotropic Normal Distributions”, Computational Visual Media, 6, pp.29-36, 2020.
  16. Tatsuya Yatagawa, Hideki Todo, Yasushi Yamaguchi, Shigeo Morishima, “Data compression for measured heterogeneous subsurface scattering via scattering profile blending”, The Visual Computer (International Journal of Computer Graphics), 36, 3, pp.541-558, 2020.
  17. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Bayesian Melody Harmonization Based on a Tree-Structured Generative Model of Chord Sequences and Melodies”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 1644–1655, 2020.
  18. Ryo Shimamura, Feng Qi, Yuki Koyama, Takayuki Nakatsuka, Satoru Fukayama, Masahiro Hamasaki, Masataka Goto, Shigeo Morishima, “Audio-Visual Object Removal in 360-Degree Videos”, The Visual Computer (International Journal of Computer Graphics), 2020.
  19. Tatsuya Yatagawa, Yasushi Yamaguchi, Shigeo Morishima, “LinSSS: linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering”, The Visual Computer (International Journal of Computer Graphics), 2020.
  20. Naoki Nozawa, Hubert P. H. Shum, Edmond S. L. Ho and Qi Feng, “3D Car Shape Reconstruction from a Contour Sketch using GAN and Lazy Learning”, The Visual Computer (International Journal of Computer Graphics), 2020.
  21. Tatsuya Koike, Shigeo Morishima, Ryoichi Ando, “Asynchronous Eulerian Liquid Simulation”, Computer Graphics Forum, Vol.39, No.2 pp.1-8, 2020.
  22. Qi Feng, Hubert P. H. Shum, Shigeo Morishima, “Resolving Hand-Object Occlusion for Mixed Reality with Joint Deep Learning and Model Optimization”, Computer Animation and Virtual Worlds, 2020.
  23. Qi Feng, Hubert P. H. Shum, Ryo Shimamura, Shigeo Morishima, “Foreground-aware Dense Depth Estimation for 360 Images”, Journal of WSCG, Vol.28 No.1-2 pp.79-88, 2020.
  24. Kosetsu Tsukuda, Masahiro Hamasaki, and Masataka Goto, “Modeling N-th Order Derivative Creation Based on Content Attractiveness and Time-Dependent Popularity”, IEICE Transactions on Information and Systems, Vol.E103-D, No.5, pp.969-981, May 2020.
  25. Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, and Kazuyoshi Yoshii, “Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories”, IEEE/ACM Transactions on Audio Speech and Language Processing, Vol. 28, pp. 1678-1691, May 2020.
  26. Yuki Koyama, Issei Sato, and Masataka Goto, “Sequential Gallery for Interactive Visual Design Optimization”, ACM Transactions on Graphics (TOG), Vol. 39, Issue 4, No. 88, 12 pages, July 2020.

Proceedings (International)

  1. Shoichi Furukawa, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima, “Voice Animator: Automatic Lip-Synching in Limited Animation by Audio”, Proceedings of the 14th International Conference on Advances in Computer Entertainment Technology (ACE 2017), pp.153-171, 2017.
  2. Naoya Iwamoto, Takuya Kato, Hubert P. H. Shum, Ryo Kakitsuka, Kenta Hara, Shigeo Morishima, “DanceDJ: A 3D Dance Animation Authoring System for Live Performance”, Proceedings of 14th International Conference on Advances in Computer Entertainment Technology (ACE 2017), pp.653-670, 2017.
  3. Shuhei Tsuchida, Satoru Fukayama, and Masataka Goto, “An Automatic System for Editing Dance Videos Recorded by Multiple Cameras”, Proceedings of the 14th International Conference on Advances in Computer Entertainment Technology (ACE 2017), pp.1-18, 2017.
  4. Ryo Kakitsuka, Kosetsu Tsukuda, Satoru Fukayama, Naoya Iwamoto, Masataka Goto, Shigeo Morishima, “Authoring System for Choreography Using Dance Motion Retrieval and Synthesis”, Proceedings of the 30th International Conference on Computer Animation and Social Agents (CASA 2017), 2017.
  5. Ayano Kaneda, Tsukasa Fukusato, Yoshihiro Fukuhara, Takayuki Nakatsuka, Shigeo Morishima, “Fiber-dependent Approach for Fast Dynamic Character Animation”, Proceedings of the 30th International Conference on Computer Animation and Social Agents (CASA 2017), 2017.
  6. Shintaro Yamamoto, Pavel Savkin, Takuya Kato, Shoichi Furukawa, Shigeo Morishima, “Facial Video Age Progression Considering Expression Change”, Proceedings of Computer Graphics International (CGI 2017), 2017,
  7. Takahiro Itazuri, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima, “Court-based Volleyball Video Summarization Focusing on Rally Scene”, Proceedings of Computer Vision and Pattern Recognition (CVPR 2017) Workshop, 2017.
  8. Takayuki Nakatsuka, Shigeo Morishima, “Simulating the friction sounds using a friction-based adhesion theory model”, Proceedings of the 20th International Conference on Digital Audio Effects (DAFx 2017), pp. 32-39, 2017.
  9. Jun Kato and Masataka Goto, “f3.js: A Parametric Design Tool for Physical Computing Devices for Both Interaction Designers and End-users”, Proceedings of the 2017 Conference on Designing Interactive Systems (DIS 2017), pp.1099-1110, 2017.
  10. Masa Ogata and Masataka Goto, “Keyboard Interface with Shape-Distortion Expression for Interactive Performance”, Proceedings of the 43rd International Computer Music Conference (ICMC 2017), pp.378-383, 2017.
  11. Jordan B. L. Smith, Masahiro Hamasaki, and Masataka Goto, “Classifying Derivative Works With Search, Text, Audio and Video Features”, Proceedings of the 2017 IEEE International Conference on Multimedia and Expo (IEEE ICME 2017), pp.1422-1427, 2017.
  12. Shunya Ariga, Masataka Goto, and Koji Yatani, “Strummer: An Interactive Guitar Chord Practice System”, Proceedings of the 2017 IEEE International Conference on Multimedia and Expo (IEEE ICME 2017), pp.1057-1062, 2017.
  13. Kosetsu Tsukuda, Keisuke Ishida, and Masataka Goto, “Lyric Jumper: A Lyrics-Based Music Exploratory Web Service by Modeling Lyrics Generative Process”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp.544-551, 2017.
  14. Jordan B. L. Smith and Masataka Goto, “Multi-Part Pattern Analysis: Combining Structure Analysis and Source Separation to Discover Intra-Part Repeated Sequences”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp.716-723, 2017.
  15. Shunya Ariga, Satoru Fukayama, and Masataka Goto, “Song2Guitar: A Difficulty-Aware Arrangement System for Generating Guitar Solo Covers from Polyphonic Audio of Popular Music”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp.568-574, 2017.
  16. Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp. 376-382, 2017.
  17. Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose, “Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp. 347-353, 2017.
  18. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Function- and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences”, Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), pp. 502-508, 2017.
  19. Antoine Liutkus, Kazuyoshi Yoshii, “A Diagonal Plus Low-Rank Covariance Model For Computationally Efficient Source Separation”, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2017), pp. 1-6, 2017.
  20. Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama, Masataka Goto, “Infinite Probabilistic Latent Component Analysis For Audio Source Separation”, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2017), pp. 1-6, 2017.
  21. Masahiro Hamasaki, Masataka Goto, “QueryShare: Working Together to Facilitate Exploratory Multimedia Searches without Skill in Creating”, Proceedings of the 13th International Symposium on Open Collaboration (OpenSym 2017), pp.12:1-12:9, 2017.
  22. Kosetsu Tsukuda and Masataka Goto, “Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation”, Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), pp.721-733, 2017.
  23. Jun Kato and Masataka Goto, “User-Generated Variables: Streamlined Interaction Design for Feature Requests and Implementations”, Companion to the first International Conference on the Art, Science and Engineering of Programming (Programming 2017), Article No. 28, 2017.
  24. Pavel A. Savkin, Shunsuke Saito, Jarich Vansteenberge, Tsukasa Fukusato, Lochlainn wilson, Shigeo Morishima, “Outside-in monocular IR camera based HMD pose estimation via geometric optimization”, Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology (ACM VRST 2017), 2017.
  25. Hirofumi Takamori, Haruki Sato, Takayuki Nakatsuka, Shigeo Morishima, “Automatic Arranging Musical Score for Piano using Important Elements”, Proceedings of the 14th Sound and Music Computing Conference (SMC 2017), pp.35-41, 2017.
  26. Yuta Ojima, Tomoyasu Nakano, Satoru Fukayama, Jun Kato, Masataka Goto, Katsutoshi Itoyama, and Kazuyoshi Yoshii, “A Singing Instrument for Real-time Vocal-part Arrangement of Music Audio Signals”, Proceedings of the 14th Sound and Music Computing Conference (SMC 2017), pp.443-449, 2017.
  27. Yusuke Wada, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “An Adaptive Karaoke System that Plays Accompaniment Parts of Music Audio Signals Synchronously with Users’ Singing Voices”, Proceedings of the 14th Sound and Music Computing Conference (SMC 2017), pp. 110-116, 2017.
  28. Hiromu Yakura, Tomoyasu Nakano, and Masataka Goto, “FocusMusicRecommender: A System for Recommending Music to Listen to While Working”, Proceedings of the 23rd International Conference on Intelligent User Interfaces (ACM IUI 2018), 2018.
  29. Shiori Hironaka, Kosetsu Tsukuda, Masahiro Hamasaki, and Masataka Goto, “Collaboration in N-th Order Derivative Creation”, Proceedings of the Twelfth International AAAI Conference on Web and Social Media (AAAI ICWSM 2018), pp.608-611, 2018.
  30. Yuki Koyama and Masataka Goto, “OptiMo: Optimization-Guided Motion Editing for Keyframe Character Animation”, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (ACM CHI 2018), pp.161:1-161:12, 2018.
  31. Seita Kayukawa, Keita Higuchi, Ryo Yonetani, Masanori Nakamura, Yoichi Sato and Shigeo Morishima, “Dynamic Object Scanning: Object-Based Elastic Timeline for Quickly Browsing First-Person Videos”, ACM SIGCHI Conference on Human Factors in Computing Systems (ACM CHI 2018), Posters, LBW611, 2018.
  32. Tian Cheng, Satoru Fukayama, and Masataka Goto, “Convolving Gaussian Kernels for RNN-based Beat Tracking”, Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018), pp.1919-1923, 2018.
  33. Kazuyoshi Yoshii, Koichi Kitamura, Yoshiaki Bando, Eita Nakamura, Tatsuya Kawahara, “Independent Low-Rank Tensor Analysis for Audio Source Separation”, 26th European Signal Processing Conference (EUSIPCO 2018), pp.1671-1675, 2018.
  34. Hiromi Nakamura, Tomoyasu Nakano, Satoru Fukayama, and Masataka Goto, “ChordScanner: Browsing Chord Progressions Based on Musical Typicality and Intra-Composer Consistency”, Proceedings of the 44th International Computer Music Conference (ICMC 2018), pp.250-255, 2018.
  35. Yugo Sato, Tsukasa Fukusato, Shigeo Morishima, “Face Retrieval Framework Relying on User’s Visual Memory”, Proceedings of ACM International Conference on Multimedia Retrieval (ACM ICMR 2018), pp.274-282, 2018.
  36. Tian Cheng, Jordan B. L. Smith, and Masataka Goto, “Music Structure Boundary Detection and Labelling by a Deconvolution of Path-Enhanced Self-Similarity Matrix”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.106-110, 2018.
  37. Jordan B. L. Smith and Masataka Goto, “Nonnegative Tensor Factorization for Source Separation of Loops in Audio”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.171-175, 2018.
  38. Anna M. Kruspe and Masataka Goto, “Retrieval of Song Lyrics from Sung Queries”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.111-115, 2018.
  39. Zhengshan Shi, Tomoyasu Nakano, and Masataka Goto, “InstListener: An Expressive Parameter Estimation System Imitating Human Performances of Monophonic Musical Instruments”, Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.581-585, 2018.
  40. Eita Nakamura, Emmanouil Benetos, Kazuyoshi Yoshii, Simon Dixon, “Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization”, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.101-105, 2018.
  41. Kazuyoshi Yoshii, “Correlated Tensor Factorization for Audio Source Separation”, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), pp.731-735, 2018.
  42. Jun Kato and Masataka Goto, “DeployGround: A Framework for Streamlined Programming from API Playgrounds to Application Deployment”, Proceedings of the 2018 IEEE Symposium on Visual Languages and Human-Centric Computing (IEEE VL/HCC 2018), pp.259-263, 2018.
  43. Tian Cheng, Satoru Fukayama, and Masataka Goto, “Comparing RNN Parameters for Melodic Similarity”, Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp.763-770, 2018.
  44. Takumi Takahashi, Satoru Fukayama, and Masataka Goto, “Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation”, Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp.561-568, 2018.
  45. Kosetsu Tsukuda, Satoru Fukayama, and Masataka Goto, ” Listener Anonymizer: Camouflaging Play Logs to Preserve User’s Demographic Anonymity”, Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), pp.687-694, 2018.
  46. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model”, International Society for Music Information Retrieval Conference (ISMIR 2018), pp.145-151, 2018.
  47. Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, abd Tomoyasu Nakano, “A Melody-Conditioned Lyrics Language Model”, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), pp.163-172, 2018.
  48. Tomoya Yamaguchi, Tatsuya Yatagawa, Shigeo Morishima, “Efficient Metropolis Path Sampling for Material Editing and Re-rendering”, Proceedings of Pacific Graphics 2018, 2018.
  49. Hiromi Nakamura, Tomoyasu Nakano, Satoru Fukayama, and Masataka Goto, “CTcomposer: A Music Composition Interface Considering Intra-Composer Consistency and Musical Typicality”, Proceedings of the 15th Sound and Music Computing Conference (SMC 2018), pp.500-507, 2018.
  50. Jun Kato, Masa Ogata, Takahiro Inoue, and Masataka Goto, “Songle Sync: A Large-Scale Web-based Platform for Controlling Various Devices in Synchronization with Music”, Proceedings of the 26th ACM International Conference on Multimedia (ACM Multimedia 2018), pp.1697-1705, October 2018.
  51. Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii,” Probabilistic Sequential Patterns for Singing Transcription,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1905–1912, 2018.
  52. Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 983–989, 2018.
  53. Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima, “FSNet: An Identity-aware Generative Model for Image-based Face Swapping”, Proceedings of Asian Conference of Computer Vision 2018.
  54. Qi Feng, Hubert P. H. Shum, and Shigeo Morishima, “Resolving occlusion for 3D object manipulation with hands in mixed reality”, Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, Article No.119, 2018.
  55. Shuhei Tsuchida, Satoru Fukayama, and Masataka Goto, “Query-by-Dancing: A Dance Music Retrieval System Based on Body-Motion Similarity”, Proceedings of the 25th International Conference on MultiMedia Modeling (MMM 2019), pp.251-263, 2019.
  56. Hirofumi Takamori, Takayuki Nakatsuka, Satoru Fukayama, Masataka Goto, Shigeo Morishima,”Audio-Based Automatic Generation of a Piano Reduction Score by Considering the Musical Structure”, Proceedings of the 25th International Conference on MultiMedia Modeling (MMM 2019), pp.169-181, 2019.
  57. Ryo Shimamura, Seita Kayukawa, Takayuku Nakatsuka, Shoki Miyagawa, Shigeo Morishima, “A Study on the Sense of Burden and Body Ownership on Virtual Slope”, IEEE VR 2019, 2019.
  58. Kin Wah Edward Lin, Tomoyasu Nakano, and Masataka Goto, “VocalistMirror: A Singer Support Interface for Avoiding Undesirable Facial Expressions”, Proceedings of the 16th Sound and Music Computing Conference (SMC 2019), pp.505-510, May 2019.
  59. Shun Sawada, Satoru Fukayama, Masataka Goto, and Keiji Hirata, “Transdrums: A Drum Pattern Transfer System Preserving Global Pattern Structure”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.391-395, May 2019.
  60. Kin Wah Edward Lin and Masataka Goto, “Zero-mean Convolutional Network with Data Augmentation for Sound Level Invariant Singing Voice Separation”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.251-255, May 2019.
  61. Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii, “Automatic Singing Transcription Based on Encoder-Decoder Recurrent Neural Networks with a Weakly-Supervised Attention Mechanism”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.161-165, 2019.
  62. Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, “Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp. 236-240, 2019.
  63. Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, “Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior”,Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.456-460, 2019.
  64. Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, “Unsupervised Melody Style Conversion”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.196-200, 2019.
  65. Andrew McLeod, Eita Nakamura, Kazuyoshi Yoshii, “Improved Metrical Alignment of MIDI Performance Based on a Repetition-Aware Online-Adapted Grammar”, Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2019), pp.186-190, 2019.
  66. Kosetsu Tsukuda, Satoru Fukayama, and Masataka Goto, “ABCPRec: Adaptively Bridging Consumer and Producer Roles for User-Generated Content Recommendation”, Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2019), pp.1197-1200, July 2019.
  67. Yiming Wu, Tristan Carsault, Kazuyoshi Yoshii, “Automatic Chord Estimation Based on a Frame-wise Convolutional Recurrent Neural Network with Non-Aligned Annotations”, European Signal Processing Conference (EUSIPCO 2019), pp.1-5, 2019.
  68. Kosetsu Tsukuda and Masataka Goto, “DualDiv: Diversifying Items and Explanation Styles in Explainable Hybrid Recommendation”, Proceedings of the 13th ACM Conference on Recommender Systems (ACM RecSys 2019), pp.398-402, September 2019.
  69. Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii, “Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Networks”, IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2019), pp.1-6, 2019.
  70. Tomoyasu Nakano, Kazuyoshi Yoshii, Yiming Wu, Ryo Nishikimi, Kin Wah Edward Lin, and Masataka Goto, “Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer”, Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE WASPAA 2019), pp.155-159, October 2019
  71. Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii, “End-to-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism”, Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE WASPAA 2019), pp.26-30, October 2019.
  72. Kento Watanabe and Masataka Goto, “Query-by-Blending: A Music Exploration System Blending Latent Vector Representations of Lyric Word, Song Audio, and Artist”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.144-151, November 2019.
  73. Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, and Masataka Goto, “AIST Dance Video Database: Multi-genre, Multi-dancer, and Multi-camera Database for Dance Information Processing”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.501-510, November 2019.
  74. Jordan B. L. Smith, Yuta Kawasaki, and Masataka Goto, “Unmixer: An Interface for Extracting and Remixing Loops”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.824-831, November 2019.
  75. Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, “Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model”,Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.268-275, 2019.
  76. Adrien Ycart, Andrew McLeod, Emmanouil Benetos, Kazuyoshi Yoshii, “Blending Acoustic and Language Model Predictions for Automatic Music Transcription”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.454-461, 2019.
  77. Peter Knees, Markus Schedl, and Masataka Goto, “Intelligent User Interfaces for Music Discovery: The Past 20 Years and What’s to Come”, Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), pp.44-53, November 2019.
  78. Tomoya Yamaguchi, Tatsuya Yatagawa, Yusuke Tokuyoshi, Shigeo Morishima, “Real-time Rendering of Layered Materials with Anisotropic Normal Distributions”, Proceedings of ACM SIGGRAPH ASIA 2019 Technical Briefs, pp.87-90, 2019.
  79. Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, Hao Li, “PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization”, Proceedings of the IEEE International Conference on Computer Vision 2019 (IEEE ICCV 2019), pp.2304-2314, 2019.
  80. Naoya Iwamoto, Hubert P. H. Shum, Wakana Asahina, Shigeo Morishima, “Automatic Sign Dance Synthesis from Gesture-based Sign Language”, Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and Games (ACM MIG 2019), Article No.18, pp.1-9, 2019.
  81. Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima, “SiCloPe: Silhouette-Based Clothed People”, Proceedings of the Computer Vision and Pattern Recognition (CVPR 2019), 2019.
  82. Daichi Ishida, Ryoichi Ando, Shigeo Morishima, “GPU Smoke Simulation on Compressed DCT Space”, Proceedings of Eurographics 2019, 2019.
  83. Mitsuki Hosoya, Hiroaki Yamaura, Satoshi Nakamura, Makoto Nakamura, Eiji Takamatsu, Yujiro Kitaide, “Does the pop-out make an effect in the product selection of signage vending machine?”, Proceedings of the 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2019), Vol.11747, pp.24-32, 2019.
  84. Mikako Sasaki, Junki Saito, Satoshi Nakamura, “Analysis of utilization in the message card production by use of fusion character of handwriting and typeface”, Proceedings of the 17th IFIP TC.13 International Conference on Human-Computer Interaction, Vol.11749, pp.25-33, 2019.
  85. Saeka Furuichi, Kazuki Abe, Satoshi Nakamura, “The possibility of personality extraction using skeletal information in hip-hop dance by human or machine”, Proceedings of the 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2019), Vol.11749, pp.511-519, 2019.
  86. Kosuke Nonaka, Junki Saito, Satoshi Nakamura, “Music Video Clip Impression Emphasis Method by Font Fusion Synchronized with Music”, Proceedings of International Conference on Entertainment Computing & Joint Conference on Serious Games (ICEC-JCSG 2019), Vol.LNCS 11863, pp.146-157, 2019.
  87. Hiroki Tokuhisa, Kenta Sato, Kouhei Matsuda, Keiji Matsui, Satoshi Nakamura, “Noise Canceling Music: Reducing Noise by a Mixing it with Suitable Music”, International Conference on Entertainment Computing & Joint Conference on Serious Games (ICEC-JCSG 2019), Vol.LNCS 11863, pp.278-284, 2019.
  88. Naoki Nozawa, Hubert P. H. Shum, Edmond S. L. Ho, Shigeo Morishima, “Single Sketch Image based 3D Car Shape Reconstruction with Deep Learning and Lazy Learning”, Proceedings of the 2020 International Conference on Computer Graphics Theory and Applications (GRAPP 2020), 2020.
  89. Takayuki Nakatsuka, Masatoshi Hamanaka, Shigeo Morishima, “Audio-guided Video Interpolation via Human Pose Features”, Proceedings of the 15th International Conference on Computer Vision Theory and Applications (VISAPP 2020), 2020.
  90. Tomoyasu Nakano, Yuki Koyama, Masahiro Hamasaki, and Masataka Goto, “Interactive Deep Singing-Voice Separation Based on Human-in-the-Loop Adaptation”, Proceedings of the 25th International Conference on Intelligent User Interfaces (ACM IUI 2020), pp.78-82, March 2020.
  91. Kosetsu Tsukuda and Masataka Goto, “Query/Task Satisfaction and Grid-based Evaluation Metrics Under Different Image Search Intents”, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2020), pp.1877-1880, July 2020.
  92. Kosetsu Tsukuda and Masataka Goto, “Explainable Recommendation for Repeat Consumption”, Proceedings of the 14th ACM Conference on Recommender Systems (ACM RecSys 2020), pp.462-467, September 2020.
  93. Kosetsu Tsukuda and Masataka Goto, “Analysis of Song/Artist Latent Features and Its Application for Song Search”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp.717-725, October 2020.
  94. Yin-Jyun Luo, Kin Wai Cheuk, Tomoyasu Nakano, Masataka Goto, and Dorien Herremans, “Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp.700-707, October 2020.
  95. Fabrizio Pedersoli and Masataka Goto, “Dance Beat Tracking from Visual Information Alone”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp.400-408, October 2020.
  96. Tsung-Ping Chen, Satoru Fukayama, Masataka Goto, and Li Su, “Chord Jazzification: Learning Jazz Interpretations of Chord Symbols”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp.360-367, October 2020.
  97. Keitaro Tanaka, Takayuki Nakatsuka, Ryo Nishikimi, Kazuyoshi Yoshii, and Shigeo Morishima, “Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp. 327–334, October 2020.
  98. Kento Watanabe and Masataka Goto, “A Chorus-Section Detection Method for Lyrics Text”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp.351-359, October 2020.
  99. Go Shibata, Ryo Nishikimi, Kazuyoshi Yoshii, “Music Structure Analysis Based on an LSTM-HSMM Hybrid Model”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp. 15–22, 2020.  
  100. Florian Thalmann, Kazuyoshi Yoshii, Wiggins Geraint, Mark B. Sandler, “A Method for Analysis of Shared Structure in Large Music Collections Using Techniques from Genetic Sequencing and Graph Theory,” Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp. 343–350, 2020.  
  101. Andrew McLeod, James Owers, Kazuyoshi Yoshii, “The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction”, Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), pp. 846–850, 2020. 
  102. Seita Kayukawa, Tatsuya Ishihara, Hironobu Takagi, Shigeo Morishima, and Chieko Asakawa, “Guiding Blind Pedestrians in Public Spaces by Understanding Walking Behavior of Nearby Pedestrians”, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 4, Issue 3, 2020.
  103. Kento Watanabe and Masataka Goto, “Lyrics Information Processing: Analysis, Generation, and Applications”, Proceedings of the First Workshop on NLP for Music and Audio (NLP4MusA 2020), October 2020.
  104. Maciej Tomczak, Masataka Goto, and Jason Hockman, “Drum Synthesis and Rhythmic Transformation with Adversarial Autoencoders”, Proceedings of the 28th ACM International Conference on Multimedia (ACM Multimedia 2020), pp.2427-2435, October 2020.
  105. Hiromu Yakura and Masataka Goto, “Enhancing Participation Experience in VR Live Concerts by Improving Virtual Audience Avatars”, Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality (IEEE ISMAR 2020), 2020.
  106. Yijun Zhou, Yuki Koyama, Masataka Goto, and Takeo Igarashi, “Generative Melody Composition with Human-in-the-Loop Bayesian Optimization”, Proceedings of the 2020 Joint Conference on AI Music Creativity (CSMC-MuMe 2020), 2020.
  107. Hideki Tsunashima, Hirokatsu Kataoka, Junji Yamato, Qiu Chen, Shigeo Morishima, “Adversarial Knowledge Distillation for a Compact Generator”, Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020), 2020.
  108. Shohei Iwase, Takuya Kato, Shugo Yamaguchi, Yukitaka Tsuchiya, Shigeo Morishima, “Song2Face: Synthesizing Singing Facial Animation from Audio”, ACM SIGGRAPH ASIA 2020 Technical Communication, 2020.
  109. Takashi Oya, Shohei Iwase, Ryota Natsume, Takahiro Itazuri, Shugo Yamaguchi, Shigeo Morishima, “Do We Need Sound for Sound Source Localization?”, Proceedings of the 15th Asian Conference on Computer Vision (ACCV 2020), 2020.
  110. Seita Kayukawa, Hironobu Takagi, João Guerreiro, Shigeo Morishima, and Chieko Asakawa, “Smartphone-Based Assistance for Blind People to Stand in Lines”, Extended Abstracts of the ACM SIGCHI Conference on Human Factors in Computing Systems (ACM CHI 2020), 2020.
  111. Seita Kayukawa, Tatsuya Ishihara, Hironobu Takagi, Shigeo Morishima, and Chieko Asakawa, “BlindPilot: A Robotic Local Navigation System that Leads Blind People to a Landmark Object”, Extended Abstracts of the ACM SIGCHI Conference on Human Factors in Computing Systems (ACM CHI 2020), 2020.

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