Ryo Nishikimi
Ryo Nishikimi
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Year
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
182016
Scale-and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model.
R Nishikimi, E Nakamura, M Goto, K Itoyama, K Yoshii
ISMIR, 376-382, 2017
102017
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
82019
Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model.
G Shibata, R Nishikimi, E Nakamura, K Yoshii
ISMIR, 268-275, 2019
82019
Joint singing pitch estimation and voice separation based on a neural harmonic structure renderer
T Nakano, K Yoshii, Y Wu, R Nishikimi, KWE Lin, M Goto
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
62019
Bayesian drum transcription based on nonnegative matrix factor decomposition with a deep score prior
S Ueda, K Shibata, Y Wada, R Nishikimi, E Nakamura, K Yoshii
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
52019
Sequential generation of singing f0 contours from musical note sequences based on wavenet
Y Wada, R Nishikimi, E Nakamura, K Itoyama, K Yoshii
2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018
52018
Unsupervised melody style conversion
E Nakamura, K Shibata, R Nishikimi, K Yoshii
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
42019
Probabilistic sequential patterns for singing transcription
E Nakamura, R Nishikimi, S Dixon, K Yoshii
2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018
32018
End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism
R Nishikimi, E Nakamura, M Goto, K Yoshii
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
12019
Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model
K Shibata, R Nishikimi, S Fukayama, M Goto, E Nakamura, K Itoyama, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
12019
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training
R Ishizuka, R Nishikimi, E Nakamura, K Yoshii
2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020
2020
Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories
R Nishikimi, E Nakamura, M Goto, K Itoyama, K Yoshii
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1678-1691, 2020
2020
LSTM-HSMM ハイブリッドモデルに基づく音楽構造解析
T SHIBATA, RYO NISHIKIMI, E NAKAMURA, K YOSHII
情報処理学会研究報告 (Web) 2020 (MUS-128), 2020
2020
事前学習済み言語モデルによる正則化を用いた深層ニューラルネットワークに基づくドラム採譜
R ISHIZUKA, RYO NISHIKIMI, E NAKAMURA, K YOSHII
情報処理学会研究報告 (Web) 2020 (MUS-128), 2020
2020
Statistical Method for Music Structure Analysis Based on a Hierarchical HSMM
GO SHIBATA, RYO NISHIKIMI, E NAKAMURA, K YOSHII
情報処理学会論文誌ジャーナル (Web) 61 (4), 757-767, 2020
2020
Factorial HSMM に基づく音楽音響信号に対するリード・リズムギター譜推定
K SHIBATA, Y BANDO, Y OJIMA, RYO NISHIKIMI, K ITOYAMA, K YOSHII
情報処理学会全国大会講演論文集 80 (2), 163-2, 2018
2018
Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams
K Tanaka, T Nakatsuka, R Nishikimi, K Yoshii, S Morishima
Music Structure Analysis Based on an LSTM-HSMM Hybrid Model
G Shibata, R Nishikimi, K Yoshii
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Articles 1–19