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Ryo Nishikimi
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2020 – today
- 2024
- [c18]Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino:
Warped Diffusion for Latent Differentiation Inference. AISTATS 2024: 4789-4797 - 2022
- [c17]Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda:
Nonparametric Relational Models with Superrectangulation. AISTATS 2022: 8921-8937 - 2021
- [b1]Ryo Nishikimi:
Generative, Discriminative, and Hybrid Approaches to Audio-to-Score Automatic Singing Transcription. Kyoto University, Japan, 2021 - [c16]Keitaro Tanaka, Ryo Nishikimi, Yoshiaki Bando, Kazuyoshi Yoshii
, Shigeo Morishima
:
Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric Learning. ICASSP 2021: 111-115 - [c15]Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model. ICASSP 2021: 256-260 - [i2]Ryoto Ishizuka, Ryo Nishikimi, Kazuyoshi Yoshii:
Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms. CoRR abs/2105.05791 (2021) - 2020
- [j1]Ryo Nishikimi
, Eita Nakamura
, Masataka Goto
, Katsutoshi Itoyama
, Kazuyoshi Yoshii
:
Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1678-1691 (2020) - [c14]Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. APSIPA 2020: 359-364 - [c13]Go Shibata, Ryo Nishikimi, Kazuyoshi Yoshii:
Music Structure Analysis Based on an LSTM-HSMM Hybrid Model. ISMIR 2020: 23-29 - [c12]Keitaro Tanaka, Takayuki Nakatsuka, Ryo Nishikimi, Kazuyoshi Yoshii, Shigeo Morishima:
Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams. ISMIR 2020: 327-334 - [i1]Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. CoRR abs/2010.03749 (2020)
2010 – 2019
- 2019
- [c11]Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii:
Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism. ICASSP 2019: 161-165 - [c10]Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii:
Unsupervised Melody Style Conversion. ICASSP 2019: 196-200 - [c9]Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii:
Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model. ICASSP 2019: 236-240 - [c8]Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior. ICASSP 2019: 456-460 - [c7]Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model. ISMIR 2019: 268-275 - [c6]Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii:
End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism. WASPAA 2019: 26-30 - [c5]Tomoyasu Nakano, Kazuyoshi Yoshii, Yiming Wu, Ryo Nishikimi, Kin Wah Edward Lin
, Masataka Goto:
Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer. WASPAA 2019: 160-164 - 2018
- [c4]Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
:
Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet. APSIPA 2018: 983-989 - [c3]Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii
:
Probabilistic Sequential Patterns for Singing Transcription. APSIPA 2018: 1905-1912 - 2017
- [c2]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. ISMIR 2017: 376-382 - 2016
- [c1]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. ISMIR 2016: 461-467
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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