| 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 | 36 | 2019 |
| 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 |
| 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 20th International Society for Music Information Retrieval Conference, ISMIR …, 2019 | 20 | 2019 |
| 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 | 19 | 2019 |
| 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 | 19 | 2017 |
| Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams. K Tanaka, T Nakatsuka, R Nishikimi, K Yoshii, S Morishima ISMIR, 327-334, 2020 | 18 | 2020 |
| Music Structure Analysis Based on an LSTM-HSMM Hybrid Model. G Shibata, R Nishikimi, K Yoshii ISMIR, 23-29, 2020 | 18 | 2020 |
| Audio-to-score singing transcription based on a CRNN-HSMM hybrid model R Nishikimi, E Nakamura, M Goto, K Yoshii APSIPA Transactions on Signal and Information Processing 10, e7, 2021 | 17 | 2021 |
| 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 | 15 | 2019 |
| Unsupervised melody style conversion E Nakamura, K Shibata, R Nishikimi, K Yoshii ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 14 | 2019 |
| 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 | 13 | 2019 |
| 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 | 12 | 2020 |
| Global structure-aware drum transcription based on self-attention mechanisms R Ishizuka, R Nishikimi, K Yoshii Signals 2 (3), 508-526, 2021 | 11 | 2021 |
| Pitch-timbre disentanglement of musical instrument sounds based on VAE-based metric learning K Tanaka, R Nishikimi, Y Bando, K Yoshii, S Morishima ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| 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 | 10 | 2018 |
| 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 | 7 | 2020 |
| Probabilistic sequential patterns for singing transcription E Nakamura, R Nishikimi, S Dixon, K Yoshii 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 6 | 2018 |
| 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 | 4 | 2019 |
| Nonparametric relational models with superrectangulation M Nakano, R Nishikimi, Y Fujiwara, A Kimura, T Yamada, N Ueda International Conference on Artificial Intelligence and Statistics, 8921-8937, 2022 | 3 | 2022 |
| Variational autoencoder–based neural electrocardiogram synthesis trained by FEM-based heart simulator R Nishikimi, M Nakano, K Kashino, S Tsukada Cardiovascular Digital Health Journal 5 (1), 19-28, 2024 | 2 | 2024 |
