Ryo Nishikimi - RankMe

24 papers A 2Misc 7Journal 3Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Hyperbolic PHATE: Visualizing Continuous Hierarchy of Latent Differentiation Structures. ICASSP Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Kenji Komiya, Tomoharu Iwata, Kunio Kashino
2024	—	`conf`	Electrocardiographic Classification using Deep Learning with Lead Switching. EMBC Tomoharu Iwata, Ryo Nishikimi, Ryohei Shibue, Masahiro Nakano, Kunio Kashino, Hitonobu Tomoike
2024	A	`conf`	Warped Diffusion for Latent Differentiation Inference. AISTATS Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino
2022	A	`conf`	Nonparametric Relational Models with Superrectangulation. AISTATS Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda
2021	—	`—`	Generative, Discriminative, and Hybrid Approaches to Audio-to-Score Automatic Singing Transcription. Ryo Nishikimi
2021	J	`jnl`	Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms. CoRR Ryoto Ishizuka, Ryo Nishikimi, Kazuyoshi Yoshii
2021	Misc	`conf`	Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric Learning. ICASSP Keitaro Tanaka, Ryo Nishikimi, Yoshiaki Bando, Kazuyoshi Yoshii, Shigeo Morishima
2021	Misc	`conf`	Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model. ICASSP Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
2020	J	`jnl`	Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories. IEEE ACM Trans. Audio Speech Lang. Process. Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii
2020	—	`conf`	Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams. ISMIR Keitaro Tanaka, Takayuki Nakatsuka, Ryo Nishikimi, Kazuyoshi Yoshii, Shigeo Morishima
2020	—	`conf`	Music Structure Analysis Based on an LSTM-HSMM Hybrid Model. ISMIR Go Shibata, Ryo Nishikimi, Kazuyoshi Yoshii
2020	—	`conf`	Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. APSIPA Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
2020	J	`jnl`	Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. CoRR Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
2019	Misc	`conf`	Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism. ICASSP Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii
2019	Misc	`conf`	Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior. ICASSP Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
2019	—	`conf`	End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism. WASPAA Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii
2019	—	`conf`	Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer. WASPAA Tomoyasu Nakano, Kazuyoshi Yoshii, Yiming Wu, Ryo Nishikimi, Kin Wah Edward Lin, Masataka Goto
2019	Misc	`conf`	Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model. ICASSP Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
2019	—	`conf`	Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model. ISMIR Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
2019	Misc	`conf`	Unsupervised Melody Style Conversion. ICASSP Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii
2018	—	`conf`	Probabilistic Sequential Patterns for Singing Transcription. APSIPA Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii
2018	—	`conf`	Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet. APSIPA Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
2017	—	`conf`	Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model. ISMIR Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii
2016	—	`conf`	Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM. ISMIR Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii