Publications and Talks   Back to main page

Publications in Japanese/日本語の発表文献はこちら

Journal Papers

  1. Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Generative Statistical Models with Self-Emergent Grammar of Chord Sequences PDF
    Submitted to Journal of New Music Research. [arXiv:1708.02255]
  2. Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
    Bayesian Multichannel Audio Source Separation Based on Nested Source and Spatial Models
    Submitted to IEEE/ACM Transactions on Audio, Speech and Language Processing.
  3. Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon
    Note Value Recognition for Piano Transcription Using Markov Random Fields PDF External Site Demo
    IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 25, No. 9, pp. 1542-1554, 2017. [arXiv:1703.08144] Citation
  4. Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama
    Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices PDF External Site Demo
    IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 25, No. 4, pp. 794-806, 2017. [arXiv:1701.08343] Citation
  5. Misato Ohkita, Yoshiaki Bando, Yukara Ikemiya, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Audio-Visual Beat Tracking Based on a State-Space Model for a Robot Dancer Performing with a Human Dancer PDF External Site
    Journal of Robotics and Mechatronics, Vol. 29, No. 1, pp. 125-136, 2017. Citation
  6. Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
    Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips PDF External Site
    IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 24, No. 2, pp. 329-339, 2016. [arXiv:1512.07748] Citation
  7. Eita Nakamura, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe
    A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments PDF External Site
    Journal of New Music Research, Vol. 44, No. 4, pp. 287-304, 2015. [arXiv:1404.2314] Citation
  8. Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono, Shigeki Sagayama
    Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following PDF External Site
    Journal of New Music Research, Vol. 43, No. 2, pp. 183-201, 2014. [arXiv:1404.2313] Citation
  9. Eita Nakamura, Haruto Takeda, Ryuichi Yamamoto, Yasuyuki Saito, Shinji Sako, Shigeki Sagayama
    Score Following Handling Performances with Arbitrary Repeats and Skips and Automatic Accompaniment (in Japanese) PDF External Site
    Journal of Information Processing Society of Japan, Vol. 54, No. 4, pp. 1338-1349, 2013.
  10. Shoji Asai, Eita Nakamura, Satoshi Shirai
    Discriminating Minimal SUGRA and Minimal Gauge Mediation Models at the Early LHC PDF External Site
    Journal of High Energy Physics, Vol. 1204, No. 003, pp. 1-22, 2012. [arXiv:1202.3584]
  11. Eita Nakamura, Satoshi Shirai
    Discovery Potential for Low-Scale Gauge Mediation at Early LHC PDF External Site
    Journal of High Energy Physics, Vol. 1103, No. 115, pp. 1-15, 2011. [arXiv:1010.5995]
  12. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai, Tsutomu T. Yanagida
    Low-Scale Gauge Mediation and Composite Messenger Dark Matter PDF External Site
    Journal of High Energy Physics, Vol. 1004, No. 119, pp. 1-14, 2010. [arXiv:0912.1683]
  13. Koichi Hamaguchi, Kouhei Nakaji, Eita Nakamura
    Inverse Problem of Cosmic-Ray Electron/Positron from Dark Matter PDF External Site
    Physics Letters B, Vol. 680, pp. 172-178, 2009. [arXiv:0905.1574]
  14. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai, Tsutomu T. Yanagida
    Decaying Dark Matter Baryons in a Composite Messenger Model PDF External Site
    Physics Letters B, Vol. 674, pp. 299-302, 2009. [arXiv:0811.0737]
  15. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai
    A Measurement of Neutralino Mass at the LHC in Light Gravitino Scenarios PDF External Site
    Physics Letters B, Vol. 666, pp. 57-61, 2008. [arXiv:0805.2502]
  16. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai, Tsutomu T. Yanagida
    Strongly Interacting Gauge Mediation at the LHC PDF External Site
    Journal of High Energy Physics, Vol. 0807, No. 107, pp. 1-11, 2008. [arXiv:0804.3296]

Conference Talks (Refereed)

  1. Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose
    Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment PDF Demo
    Proc. 18th International Society for Music Information Retrieval Conference (ISMIR), accepted, 2017.
  2. 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 PDF Demo
    Proc. 18th International Society for Music Information Retrieval Conference (ISMIR), accepted, 2017.
  3. 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 PDF Demo
    Proc. 18th International Society for Music Information Retrieval Conference (ISMIR), accepted, 2017.
  4. 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 PDF Demo
    Proc. 14th Sound and Music Computing Conference (SMC), pp. 110-116, 2017.
  5. Mitsuyo Hashida, Eita Nakamura, Haruhiro Katayose
    Constructing PEDB 2nd Edition: A Music Performance Database with Phrase Information PDF
    Proc. 14th Sound and Music Computing Conference (SMC), pp. 359-364, 2017.
  6. Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
    Bayesian Multichannel Nonnegative Matrix Factorization for Audio Source Separation and Localization PDF External Site
    Proc. 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 551-555, 2017.
  7. Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama
    Rhythm Transcription of Polyphonic MIDI Performances Based on a Merged-Output HMM for Multiple Voices PDF Demo
    Proc. 13th Sound and Music Computing Conference (SMC), pp. 338-343, 2016.
  8. Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Rhythm Transcription of MIDI Performances Based on Hierarchical Bayesian Modelling of Repetition and Modification of Musical Note Patterns PDF
    Proc. 24th European Signal Processing Conference (EUSIPCO), pp. 1946-1950, 2016.
  9. Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    A Unified Bayesian Model of Time-Frequency Clustering and Low-Rank Approximation for Multi-Channel Source Separation PDF
    Proc. 24th European Signal Processing Conference (EUSIPCO), pp. 2280-2284, 2016.
  10. Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    A Hierarchical Bayesian Model of Chords, Pitches, and Spectrograms for Multipitch Analysis PDF
    Proc. 17th International Society for Music Information Retrieval Conference (ISMIR), pp. 309-315, 2016.
  11. Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM PDF
    Proc. 17th International Society for Music Information Retrieval Conference (ISMIR), pp. 461-467, 2016.
  12. Yasuyuki Saito, Eita Nakamura, Riku Sato, Suguru Agata, Yuu Igarashi, Shigeki Sagayama
    Conversion from Standard MIDI Files to Vertical Line Notation Scores and Automatic Decision of Piano Fingering for Beginners PDF
    Proc. 2nd International Conference on Technologies for Music Notation and Representation (TENOR), pp. 200-211, 2016.
  13. Eita Nakamura, Masatoshi Hamanaka, Keiji Hirata, Kazuyoshi Yoshii
    Tree-Structured Probabilistic Model of Monophonic Written Music Based on the Generative Theory of Tonal Music PDF
    Proc. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 276-280, 2016.
  14. Eita Nakamura, Philippe Cuvillier, Arshia Cont, Nobutaka Ono, Shigeki Sagayama
    Autoregressive Hidden Semi-Markov Model of Symbolic Music Performance for Score Following PDF External Site
    Proc. 16th International Society for Music Information Retrieval Conference (ISMIR), pp. 392-398, 2015.
  15. Eita Nakamura, Shigeki Sagayama
    Automatic Piano Reduction from Ensemble Scores Based on Merged-Output Hidden Markov Model PDF External Site
    Proc. 41st International Computer Music Conference (ICMC), pp. 298-305, 2015.
  16. Eita Nakamura, Shinji Takaki
    Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals PDF External Site
    Proc. 5th Mathematics and Computation in Music (MCM), pp. 109-114, 2015.
  17. Riku Sato, Yasuyuki Saito, Suguru Agata, Eita Nakamura, Shigeki Sagayama
    Automatic Generation of Musical Score in Vertical Line Notation from MIDI File PDF
    Proc. 1st International Conference on Advanced Imaging (ICAI), T105-04, pp. 559-562, 2015.
  18. Haruka Jibiki, Toshikazu Shimizu, Yasuyuki Saito, Eita Nakamura, Shigeki Sagayama
    A Study of Automatic Page Turning of Musical Scores by Detecting Player's Nods PDF
    Proc. 1st International Conference on Advanced Imaging (ICAI), PB1-08, pp. 272-275, 2015.
  19. Eita Nakamura, Nobutaka Ono, Shigeki Sagayama
    Merged-Output HMM for Piano Fingering of Both Hands PDF External Site
    Proc. 15th International Society for Music Information Retrieval Conference (ISMIR), pp. 531-536, 2014.
  20. Eita Nakamura, Yasuyuki Saito, Nobutaka Ono, Shigeki Sagayama
    Merged-Output Hidden Markov Model for Score Following of MIDI Performance with Ornaments, Desynchronized Voices, Repeats and Skips PDF External Site
    Proc. Joint 40th International Computer Music Conference (ICMC) | 11th Sound and Music Computing Conference (SMC), pp. 1185-1192, 2014.
  21. Shigeki Sagayama, Tomohiko Nakamura, Eita Nakamura, Yasuyuki Saito, Hirokazu Kameoka, Nobutaka Ono
    Automatic Music Accompaniment Allowing Errors and Arbitrary Repeats and Jumps PDF External Site
    Proc. 167th Meeting of Acoustical Society of America (ASA), POMA Vol. 21 No. 035003, pp. 1-11, 2014. (Invited Talk)
  22. Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
    Acoustic Score Following to Musical Performance with Errors and Arbitrary Repeats and Skips for Automatic Accompaniment PDF External Site
    Proc. 10th Sound and Music Computing Conference (SMC), pp. 1185-1192, 2014.

Conference Talks (Unrefereed)

  1. Eita Nakamura, Kazuyoshi Yoshii
    Comparative Evaluation of Rhythm Transcription Algorithms on Polyphonic Piano Datasets
    Digital Music Research Network Workshop 2016 (DMRN+11).
  2. Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Hierarchical Bayesian Unification Model of Music Audio and Language for Multiptich Analysis and Chord Structure Induction from Audio Signals (in Japanese)
    19th Information-Based Induction Sciences Workshop (IBIS2016), T2-23, 2016. (Student Presentation Award)
  3. Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Semi-Beat-Synchronous Segmental HMM for Automatic Transcription from Singing Voice F0 Trajectories (in Japanese)
    19th Information-Based Induction Sciences Workshop (IBIS2016), T2-24, 2016.
  4. Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
    Nested Bayesian Mixture-Factor Model Based on Low-Rank Sound Source Modelling and Sparse Composition Process for Multichannel Audio Source Separation (in Japanese)
    19th Information-Based Induction Sciences Workshop (IBIS2016), T2-26, 2016. [PDF]
  5. Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
    Time-Frequency Clustering Based on Nested Basis-Source Mixture Modelling for Multichannel Audio Source Separation (in Japanese)
    Technical Report of IEICE, Vol. 116, No. 189, SP2016-31, pp. 25-28, 2016. (Student Poster Award) [PDF]
  6. Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    A Hierarchical Bayesian Model of Key, Chords, Pitches, and Spectrograms for Multipitch Analysis (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2016-MUS-112, No. 6, pp. 1-8, 2016. [PDF]
  7. Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Musical Note Estimation for Singing Voice F0 Trajectories Based on a Bayesian Semi-Beat-Synchronous HMM (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2016-MUS-112, No. 7, pp. 1-7, 2016. [PDF]
  8. Haruka Jibiki, Yasuyuki Saito, Eita Nakamura, Shigeki Sagayama
    Discrimination of Player's Cue and Head Shaking for Automatic Page Turning System for Musical Scores (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2016-MUS-112, No. 12, pp. 1-5, 2016. [PDF]
  9. Riku Sato, Eita Nakamura, Yasuyuki Saito, Suguru Agata, Yuu Igarashi, Shigeki Sagayama
    Automatic Creation of Score in Vertical Line Notation and Piano Fingering for Beginner Player from SMF (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2016-MUS-112, No. 13, pp. 1-6, 2016. [PDF]
  10. Ami Nagano, Yasuyuki Saito, Eita Nakamura, Shigeki Sagayama
    Tempo Control for Automatic Accompaniment While Player Rests in Musical Score (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2016-MUS-112, No. 17, pp. 1-6, 2016. [PDF]
  11. Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama, Masataka Goto
    NMF vs PLCA: Infinite Factor Model and Infinite Mixture Model for Generative Process of Multiple-Pitch Sounds (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2016-MUS-112, No. 21, pp. 1-10, 2016. [PDF]
  12. Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Hierarchical Bayesian Music Language Model Based on Repetition and Modification of Note Patterns and Application to Rhythm Transcription (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2016-MUS-112, No. 22, pp. 1-6, 2016. [PDF]
  13. Eita Nakamura, Masatoshi Hamanaka, Keiji Hirata, Kazuyoshi Yoshii
    Tree-Structured Probabilistic Model of Melodic Musical Notes Based on GTTM (in Japanese)
    30th Annual Meeting of the Japanese Society for Artificial Intelligence, 3G4-OS-15b-4, pp. 1-3, 2016. [Proceeding]
  14. Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Multi-Channel Sound Source Localization and Separation Based on NMF-LDA Considering Low-Rankness and Sparseness of Source Spectrograms (in Japanese)
    75th National Convention of Information Processing Society of Japan (IPSJ), 2016. (Student Award) [PDF]
  15. Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Pitch Estimation for Music Audio Signals Based on a Hierarchical Bayesian Model of Chords and Spectrograms (in Japanese)
    75th National Convention of Information Processing Society of Japan (IPSJ), 2016. (Student Award) [PDF]
  16. Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
    Automatic Note Estimation for Vocal F0s based on a Beat-Semi-Synchronous Hidden Markov Model (in Japanese)
    75th National Convention of Information Processing Society of Japan (IPSJ), 2016. [PDF]
  17. Eita Nakamura, Philippe Cuvillier, Arshia Cont, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe
    Score Following of Polyphonic MIDI Performances with Ornaments Based on a Hierarchical Probabilistic Model (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2015-MUS-108, No. 16, pp. 1-7, 2015. [Proceeding]
  18. Eita Nakamura, Nobutaka Ono, Shigeki Sagayama
    Rhythm Transcription of Polyphonic Music Using Merged-Output Hidden Markov Model (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2014-MUS-104, No. 8, pp. 1-7, 2014. [Proceeding]
  19. Eita Nakamura, Nobutaka Ono, Shigeki Sagayama
    Piano Reduction from Ensemble Scores Based on Piano Fingering Model for Both Hands (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2013-MUS-101, No. 14, pp. 1-12, 2013. (IPSJ Yamashita Research Award) [Proceeding]
  20. Eita Nakamura, Yasuyuki Saito, Shigeki Sagayama
    Merged-Output Hidden Markov Model and Its Applications in Score Following and Hand Separation of Polyphonic Keyboard Music (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2013-EC-27, No. 15, pp. 1-6, 2013. [Proceeding]
  21. Naoya Ito, Satoru Fukayama, Eita Nakamura, Daisuke Saito, Shigeki Sagayama
    Automatic Music Performance Rendering Using Tempo Curve Generation Based on Music Structure (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2013-EC-27, No. 23, pp. 1-6, 2013. [Proceeding]
  22. Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
    Fast Score Following for Acoustic Signal of Musical Performance with Repeats and Skips (in Japanese)
    Proc. 75th National Convention of Information Processing Society of Japan (IPSJ), Vol. 2013, No. 1, pp. 283-284, 2013. (Student Award) [Proceeding]
  23. Tomohiko Nakamura, Yuu Mizuno, Kosuke Suzuki, Eita Nakamura, Yusuke Higuchi, Satoru Fukayama, Shigeki Sagayama
    Automatic Accompaniment Robust to Errors and Repetitions in Acoustic Musical Performances (in Japanese)
    2012 Autumn Meeting of the Acoustical Society of Japan (ASJ), 2012.
  24. Eita Nakamura, Ryuichi Yamamoto, Yasuyuki Saito, Shinji Sako, Shigeki Sagayama,
    Modeling Ornaments for Polyphonic MIDI Score Following and Its Application to Automatic Accompaniment (in Japanese)
    2012 Autumn Meeting of the Acoustical Society of Japan (ASJ), 2012.
  25. Eita Nakamura, Ryuichi Yamamoto, Shinji Sako, Yasuyuki Saito, Shigeki Sagayama
    Modeling Performance Indeterminacies for Polyphonic MIDI Score Following and Its Application to Automatic Accompaniment (in Japanese)
    Technical Report IPSJ Special Interest Group on Music and Computer (SIGMUS), Vol. 2012-MUS-96, No. 14, pp. 1-6, 2012.
  26. Eita Nakamura
    SUSY Model Discrimination at an Early Stage of LHC (in Japanese)
    Soryuushiron Kenkyu, 119(3), C47, 2011.
  27. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai, Tsutomu T. Yanagida
    Strongly Interacting Gauge Mediation at the LHC
    18th International Conference on Supersymmetry and Unification of Fundamental Interactions (SUSY10), 2010.
  28. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai, Tsutomu Yanagida
    Low-Scale Gauge Mediation and Composite Messenger Dark Matter (in Japanese)
    The 65th Annual Meeting of the Physical Society of Japan, 2010.
  29. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai, Tsutomu T. Yanagida
    Low-Scale Gauge Mediation and Composite Messenger Dark Matter
    17th International Conference on Supersymmetry and Unification of Fundamental Interactions (SUSY09), 2009.
  30. Koichi Hamaguchi, Eita Nakamura, Satoshi Shirai, Tsutomu Yanagida
    Strongly Interacting Gauge Mediation Model at the LHC (in Japanese)
    The 2008 Autumn Meeting of the Physical Society of Japan, 2008.

Seminar Talks

  1. Statistical Performance Model with Explicit Voice Structure and Symbolic Music Alignment
    Talk at the Johannes Kepler University (hosted by Dr Andreas Arzt and Dr Gerhard Widmer), Linz, 6/Sep/2017.
  2. Statistical Models of Musical Rhythm and Application to MIDI Transcription
    Talk at the Utrecht University (hosted by Dr Anja Volk), Utrecht, 4/Sep/2017.
  3. Symbolic Music Transcription Using Statistical Music Language Models
    Talk at the International Audio Laboratories Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (hosted by Dr Meinard Müller), Erlangen, 24/July/2017.
  4. Bayesian Learning for Modelling Repeated and Modified Musical Note Patterns
    MusICA Seminar at the University of Edinburgh (hosted by Mr Andrew McLeod and Dr Mark Steedman), Edinburgh, 21/June/2017.
  5. Recent Developments in Statistical Modelling Techniques for Symbolic Music Processing
    C4DM Seminar at the Centre for Digital Music at Queen Mary University of London, London, 10/May/2017.
  6. Recent Developments of Statistical Generative Models for Musical Note Sequences
    Invited Talk in Workshop on Music Generation using Statistical Models at University of the Basque Country (UPV/EHU) (hosted by Dr Darrell Conklin), San Sebastian, 28/Jan/2017.
  7. Rhythm Transcription of Piano Performances Based on Hierarchical Bayesian Modelling of Repetition and Modification of Musical Note Patterns
    Invited Seminar at Universitat Pompeu Fabra (UPF), Barcelona, 15/Nov/2016.
  8. Stochastic Modeling of Arbitrary Repeats and Skips in Music Performances and Score Following
    Invited Seminar at Institut de Recherche et Coordination Acoustique/Musique (IRCAM), Paris, 16/Jan/2014.