Eita Nakamura

According to our database, Eita Nakamura authored at least 61 papers between 2014 and 2023.

Collaborative distances:

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

2023

Neural Band-to-Piano Score Arrangement with Stepless Difficulty Control.

Moyu Terao, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the IEEE International Conference on Acoustics, 2023

Computational Analysis of Audio Recordings of Piano Performance for Automatic Evaluation.

Norihiro Kato, Eita Nakamura, Kyoko Mine, Orie Doeda, Masanao Yamada

Proceedings of the Responsive and Sustainable Educational Futures, 2023

Evolutionary Analysis and Cultural Transmission Models of Color Style Distributions in Painting Arts.

Eita Nakamura, Yasuyuki Saito

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

CTC2: End-to-End Drum Transcription Based on Connectionist Temporal Classification With Constant Tempo Constraint.

Daichi Kamakura, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Audio-to-Score Singing Transcription Based on Joint Estimation of Pitches, Onsets, and Metrical Positions With Tatum-Level CTC Loss.

Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks.

Pedro Ramoneda, Dasaem Jeong, Eita Nakamura, Xavier Serra, Marius Miron

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Tracking the Evolution of a Band's Live Performances over Decades.

Florian Thalmann, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

End-to-End Lyrics Transcription Informed by Pitch and Onset Estimation.

Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

Non-local musical statistics as guides for audio-to-score piano transcription.

Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii

Inf. Sci., 2021

Musical rhythm transcription based on Bayesian piece-specific score models capturing repetitions.

Eita Nakamura, Kazuyoshi Yoshii

Inf. Sci., 2021

Joint Estimation of Note Values and Voices for Audio-to-Score Piano Transcription.

Yuki Hiramatsu, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 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

Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features.

Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii

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

Bayesian Melody Harmonization Based on a Tree-Structured Generative Model of Chord Sequences and Melodies.

Hiroaki Tsushima, Eita Nakamura, Kazuyoshi Yoshii

IEEE ACM Trans. Audio Speech Lang. Process., 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

Statistical learning and estimation of piano fingering.

Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii

Inf. Sci., 2020

Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords.

Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii

CoRR, 2020

Music Recreation in Nursing Home using Automatic Music Accompaniment System and Score of VLN.

Yasuyuki Saito, Yasuji Sakai, Yuu Igarashi, Suguru Agata, Eita Nakamura, Shigeki Sagayama

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

A Variational Autoencoder for Joint Chord and Key Estimation from Audio Chromagrams.

Yiming Wu, Eita Nakamura, Kazuyoshi Yoshii

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

Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network.

Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii

CoRR, 2019

Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions.

Eita Nakamura, Kazuyoshi Yoshii

CoRR, 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

Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks.

Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 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

Improved Metrical Alignment of Midi Performance Based on a Repetition-aware Online-adapted Grammar.

Andrew McLeod, Eita Nakamura, Kazuyoshi Yoshii

Proceedings of the IEEE International Conference on Acoustics, 2019

Chord Function Identification with Modulation Detection Based on HMM.

Yui Uehara, Eita Nakamura, Satoshi Tojo

Proceedings of the Perception, Representations, Image, Sound, Music, 2019

2018

Bayesian Multichannel Audio Source Separation Based on Integrated Source and Spatial Models.

Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Statistical Piano Reduction Controlling Performance Difficulty.

Eita Nakamura, Kazuyoshi Yoshii

CoRR, 2018

Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model.

Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization.

Eita Nakamura, Emmanouil Benetos, Kazuyoshi Yoshii, Simon Dixon

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Independent Low-Rank Tensor Analysis for Audio Source Separation.

Kazuyoshi Yoshii, Koichi Kitamura, Yoshiaki Bando, Eita Nakamura, Tatsuya Kawahara

Proceedings of the 26th European Signal Processing Conference, 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

Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices.

Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Note Value Recognition for Piano Transcription Using Markov Random Fields.

Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Audio-Visual Beat Tracking Based on a State-Space Model for a Robot Dancer Performing with a Human Dancer.

Misato Ohkita, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

J. Robotics Mechatronics, 2017

Generative Statistical Models with Self-Emergent Grammar of Chord Sequences.

Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

CoRR, 2017

Note Value Recognition for Rhythm Transcription Using a Markov Random Field Model for Musical Scores and Performances of Piano Music.

Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon

CoRR, 2017

Infinite probabilistic latent component analysis for audio source separation.

Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama, Masataka Goto

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Function- and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences.

Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

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

Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment.

Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose

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

Bayesian multichannel nonnegative matrix factorization for audio source separation and localization.

Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips.

Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama

IEEE ACM Trans. Audio Speech Lang. Process., 2016

A Hierarchical Bayesian Model of Chords, Pitches, and Spectrograms for Multipitch Analysis.

Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

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

Tree-structured probabilistic model of monophonic written music based on the generative theory of tonal music.

Eita Nakamura, Masatoshi Hamanaka, Keiji Hirata, Kazuyoshi Yoshii

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Rhythm transcription of MIDI performances based on hierarchical Bayesian modelling of repetition and modification of musical note patterns.

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

Proceedings of the 24th European Signal Processing Conference, 2016

A unified Bayesian model of time-frequency clustering and low-rank approximation for multi-channel source separation.

Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals.

Eita Nakamura, Shinji Takaki

Proceedings of the Mathematics and Computation in Music - 5th International Conference, 2015

Autoregressive Hidden Semi-Markov Model of Symbolic Music Performance for Score Following.

Eita Nakamura, Philippe Cuvillier, Arshia Cont, Nobutaka Ono, Shigeki Sagayama

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Automatic Piano Reduction from Ensemble Scores Based on Merged-Output Hidden Markov Model.

Eita Nakamura, Shigeki Sagayama

Proceedings of the Looking Back, 2015

2014

A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments.

Eita Nakamura, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe

CoRR, 2014

Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following.

Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono, Shigeki Sagayama

CoRR, 2014

Merged-Output HMM for Piano Fingering of Both Hands.

Eita Nakamura, Nobutaka Ono, Shigeki Sagayama

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Merged-Output Hidden Markov Model for Score Following of MIDI Performance with Ornaments, Desynchronized Voices, Repeats and Skips.

Eita Nakamura, Nobutaka Ono, Yasuyuki Saito, Shigeki Sagayama

Proceedings of the Music Technology meets Philosophy, 2014