Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment. E Nakamura, K Yoshii, H Katayose ISMIR, 347-353, 2017 | 79 | 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 | 68 | 2018 |
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 | 53 | 2009 |
Merged-Output HMM for Piano Fingering of Both Hands. E Nakamura, N Ono, S Sagayama ISMIR, 531-536, 2014 | 51 | 2014 |
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 | 45 | 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 | 44 | 2016 |
Statistical learning and estimation of piano fingering E Nakamura, Y Saito, K Yoshii Information Sciences 517, 68-85, 2020 | 39 | 2020 |
Statistical evolutionary laws in music styles E Nakamura, K Kaneko Scientific reports 9 (1), 15993, 2019 | 37 | 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 | 35 | 2014 |
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 | 34 | 2019 |
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 | 34 | 2017 |
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 | 30 | 2018 |
Non-local musical statistics as guides for audio-to-score piano transcription K Shibata, E Nakamura, K Yoshii Information Sciences 566, 262-280, 2021 | 29 | 2021 |
Statistical piano reduction controlling performance difficulty E Nakamura, K Yoshii APSIPA Transactions on Signal and Information Processing 7, e13, 2018 | 29 | 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 | 29 | 2015 |
Automatic piano reduction from ensemble scores based on merged-output hidden markov model E Nakamura, S Sagayama ICMC, 2015 | 29 | 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 | 26 | 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 | 24 | 2016 |
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 | 24 | 2015 |
任意箇所への弾き直し・弾き飛ばしを含む演奏に追従可能な楽譜追跡と自動伴奏 中村栄太, 武田晴登, 山本龍一, 齋藤康之, 酒向慎司, 嵯峨山茂樹 情報処理学会論文誌 54 (4), 1338-1349, 2013 | 24 | 2013 |