| Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment. E Nakamura, K Yoshii, H Katayose ISMIR, 347-353, 2017 | 86 | 2017 |
| Towards complete polyphonic music transcription: Integrating multi-pitch detection and rhythm quantization E Nakamura, E Benetos, K Yoshii, S Dixon 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 72 | 2018 |
| Merged-Output HMM for Piano Fingering of Both Hands. E Nakamura, N Ono, S Sagayama ISMIR, 531-536, 2014 | 56 | 2014 |
| Decaying dark matter baryons in a composite messenger model K Hamaguchi, E Nakamura, S Shirai, TT Yanagida Physics Letters B 674 (4-5), 299-302, 2009 | 54 | 2009 |
| Statistical learning and estimation of piano fingering E Nakamura, Y Saito, K Yoshii Information Sciences 517, 68-85, 2020 | 52 | 2020 |
| Rhythm transcription of polyphonic piano music based on merged-output HMM for multiple voices E Nakamura, K Yoshii, S Sagayama IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (4), 794-806, 2017 | 51 | 2017 |
| Tree-structured probabilistic model of monophonic written music based on the generative theory of tonal music E Nakamura, M Hamanaka, K Hirata, K Yoshii 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 46 | 2016 |
| Statistical evolutionary laws in music styles E Nakamura, K Kaneko Scientific reports 9 (1), 15993, 2019 | 43 | 2019 |
| Automatic singing transcription based on encoder-decoder recurrent neural networks with a weakly-supervised attention mechanism R Nishikimi, E Nakamura, S Fukayama, M Goto, K Yoshii ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 40 | 2019 |
| Outer-product hidden Markov model and polyphonic MIDI score following E Nakamura, T Nakamura, Y Saito, N Ono, S Sagayama Journal of New Music Research 43 (2), 183-201, 2014 | 38 | 2014 |
| Function-and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences. H Tsushima, E Nakamura, K Itoyama, K Yoshii ISMIR, 502-508, 2017 | 37 | 2017 |
| Non-local musical statistics as guides for audio-to-score piano transcription K Shibata, E Nakamura, K Yoshii Information Sciences 566, 262-280, 2021 | 36 | 2021 |
| Statistical piano reduction controlling performance difficulty E Nakamura, K Yoshii APSIPA Transactions on Signal and Information Processing 7, e13, 2018 | 32 | 2018 |
| Automatic piano reduction from ensemble scores based on merged-output hidden markov model E Nakamura, S Sagayama ICMC, 2015 | 32 | 2015 |
| Generative statistical models with self-emergent grammar of chord sequences H Tsushima, E Nakamura, K Itoyama, K Yoshii Journal of New Music Research 47 (3), 226-248, 2018 | 31 | 2018 |
| Autoregressive hidden semi-markov model of symbolic music performance for score following E Nakamura, P Cuvillier, A Cont, N Ono, S Sagayama 16th International Society for Music Information Retrieval Conference (ISMIR), 2015 | 30 | 2015 |
| Real-time audio-to-score alignment of music performances containing errors and arbitrary repeats and skips T Nakamura, E Nakamura, S Sagayama IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (2), 329-339, 2015 | 28 | 2015 |
| A stochastic temporal model of polyphonic MIDI performance with ornaments E Nakamura, N Ono, S Sagayama, K Watanabe Journal of New Music Research 44 (4), 287-304, 2015 | 27 | 2015 |
| Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM. R Nishikimi, E Nakamura, K Itoyama, K Yoshii ISMIR, 461-467, 2016 | 26 | 2016 |
| Independent low-rank tensor analysis for audio source separation K Yoshii, K Kitamura, Y Bando, E Nakamura, T Kawahara 2018 26th European Signal Processing Conference (EUSIPCO), 1657-1661, 2018 | 25 | 2018 |
Kazuyoshi YoshiiProfessor, Kyoto University / Team Leader, RIKEN確認したメール アドレス: kyoto-u.ac.jp
