Ryo Nishikimi

According to our database, Ryo Nishikimi authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Warped Diffusion for Latent Differentiation Inference.

Masahiro Nakano, Hiroki Sakuma, Ryo Nishikimi, Ryohei Shibue, Takashi Sato, Tomoharu Iwata, Kunio Kashino

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Nonparametric Relational Models with Superrectangulation.

Masahiro Nakano, Ryo Nishikimi, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Generative, Discriminative, and Hybrid Approaches to Audio-to-Score Automatic Singing Transcription.

Ryo Nishikimi

PhD thesis, 2021

Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms.

Ryoto Ishizuka, Ryo Nishikimi, Kazuyoshi Yoshii

CoRR, 2021

Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric Learning.

Keitaro Tanaka, Ryo Nishikimi, Yoshiaki Bando, Kazuyoshi Yoshii, Shigeo Morishima

Proceedings of the IEEE International Conference on Acoustics, 2021

Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model.

Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories.

Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams.

Keitaro Tanaka, Takayuki Nakatsuka, Ryo Nishikimi, Kazuyoshi Yoshii, Shigeo Morishima

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Music Structure Analysis Based on an LSTM-HSMM Hybrid Model.

Go Shibata, Ryo Nishikimi, Kazuyoshi Yoshii

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training.

Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism.

Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer.

Tomoyasu Nakano, Kazuyoshi Yoshii, Yiming Wu, Ryo Nishikimi, Kin Wah Edward Lin, Masataka Goto

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model.

Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior.

Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model.

Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

Proceedings of the IEEE International Conference on Acoustics, 2019

Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism.

Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii

Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Melody Style Conversion.

Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet.

Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Probabilistic Sequential Patterns for Singing Transcription.

Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model.

Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016

Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM.

Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016