Ryo Nishikimi

Orcid: 0000-0002-3638-6115

According to our database1, Ryo Nishikimi authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Warped Diffusion for Latent Differentiation Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022
Nonparametric Relational Models with Superrectangulation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Generative, Discriminative, and Hybrid Approaches to Audio-to-Score Automatic Singing Transcription.
PhD thesis, 2021

Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms.
CoRR, 2021

Pitch-Timbre Disentanglement Of Musical Instrument Sounds Based On Vae-Based Metric Learning.
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.
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.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Multi-Instrument Music Transcription Based on Deep Spherical Clustering of Spectrograms and Pitchgrams.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Music Structure Analysis Based on an LSTM-HSMM Hybrid Model.
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.
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.
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.
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.
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.
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Melody Style Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Probabilistic Sequential Patterns for Singing Transcription.
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.
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.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016


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