Eita Nakamura - RankMe

75 papers A* 1B 1C 1Misc 10Journal 25Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	ArtEvoViewer: A System for Visualizing Interpersonal Influence Among Painters. IV Ryoko Oda, Eita Nakamura, Daniel Pahr, Henry Ehlers, Eduard Gröller, Renata G. Raidou, Takayuki Itoh
2025	—	`conf`	Evaluation Score Prediction for Japanese Songs Based on Melody Fitness to Lyrics. APSIPA Sosuke Nishimura, Eita Nakamura
2025	—	`conf`	Singing MIDI Transcription with Music Language Models: Formulation and Comparison. APSIPA Yu Sugimoto, Jun-You Wang, Li Su, Eita Nakamura
2024	—	`conf`	Cluster and Separate: A GNN Approach to Voice and Staff Prediction for Score Engraving. ISMIR Francesco Foscarin, Emmanouil Karystinaios, Eita Nakamura, Gerhard Widmer
2024	J	`jnl`	Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving. CoRR Francesco Foscarin, Emmanouil Karystinaios, Eita Nakamura, Gerhard Widmer
2024	—	`conf`	Modeling the Evolution of Harmony in Popular Music from Different Cultural Contexts. CHR Fabian C. Moss, Eita Nakamura
2024	—	`conf`	On the Importance of Time and Pitch Relativity for Transformer-Based Symbolic Music Generation. APSIPA Tatsuro Inaba, Kazuyoshi Yoshii, Eita Nakamura
2023	—	`conf`	Audio-to-Score Singing Transcription Based on Joint Estimation of Pitches, Onsets, and Metrical Positions With Tatum-Level CTC Loss. APSIPA ASC Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii
2023	—	`conf`	CTC2: End-to-End Drum Transcription Based on Connectionist Temporal Classification With Constant Tempo Constraint. APSIPA ASC Daichi Kamakura, Eita Nakamura, Kazuyoshi Yoshii
2023	B	`conf`	Computational Analysis of Audio Recordings of Piano Performance for Automatic Evaluation. EC-TEL Norihiro Kato, Eita Nakamura, Kyoko Mine, Orie Doeda, Masanao Yamada
2023	—	`conf`	Computational Analysis of Selection and Mutation Probabilities in the Evolution of Chord Progressions. CMMR Eita Nakamura
2023	—	`conf`	Evolutionary Analysis and Cultural Transmission Models of Color Style Distributions in Painting Arts. APSIPA ASC Eita Nakamura, Yasuyuki Saito
2023	—	`conf`	Historical Changes of Modes and Their Substructure Modeled as Pitch Distributions in Plainchant from the 1100 s to the 1500 s. CMMR Eita Nakamura, Tim Eipert, Fabian C. Moss
2023	Misc	`conf`	Neural Band-to-Piano Score Arrangement with Stepless Difficulty Control. ICASSP Moyu Terao, Eita Nakamura, Kazuyoshi Yoshii
2022	A*	`conf`	Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks. ACM Multimedia Pedro Ramoneda, Dasaem Jeong, Eita Nakamura, Xavier Serra, Marius Miron
2022	—	`conf`	End-to-End Lyrics Transcription Informed by Pitch and Onset Estimation. ISMIR Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii
2022	—	`conf`	Tracking the Evolution of a Band's Live Performances over Decades. ISMIR Florian Thalmann, Eita Nakamura, Kazuyoshi Yoshii
2021	—	`conf`	Joint Estimation of Note Values and Voices for Audio-to-Score Piano Transcription. ISMIR Yuki Hiramatsu, Eita Nakamura, Kazuyoshi Yoshii
2021	J	`jnl`	Musical rhythm transcription based on Bayesian piece-specific score models capturing repetitions. Inf. Sci. Eita Nakamura, Kazuyoshi Yoshii
2021	J	`jnl`	Non-local musical statistics as guides for audio-to-score piano transcription. Inf. Sci. Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii
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	—	`conf`	A Variational Autoencoder for Joint Chord and Key Estimation from Audio Chromagrams. APSIPA Yiming Wu, Eita Nakamura, Kazuyoshi Yoshii
2020	J	`jnl`	Bayesian Melody Harmonization Based on a Tree-Structured Generative Model of Chord Sequences and Melodies. IEEE ACM Trans. Audio Speech Lang. Process. Hiroaki Tsushima, 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`	Music Recreation in Nursing Home using Automatic Music Accompaniment System and Score of VLN. LifeTech Yasuyuki Saito, Yasuji Sakai, Yuu Igarashi, Suguru Agata, Eita Nakamura, Shigeki Sagayama
2020	J	`jnl`	Non-Local Musical Statistics as Guides for Audio-to-Score Piano Transcription. CoRR Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii
2020	J	`jnl`	Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features. IEEE ACM Trans. Audio Speech Lang. Process. Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii
2020	J	`jnl`	Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords. CoRR Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii
2020	J	`jnl`	Statistical learning and estimation of piano fingering. Inf. Sci. Eita Nakamura, Yasuyuki Saito, 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`	Chord Function Identification with Modulation Detection Based on HMM. CMMR Yui Uehara, Eita Nakamura, Satoshi Tojo
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	Misc	`conf`	Improved Metrical Alignment of Midi Performance Based on a Repetition-aware Online-adapted Grammar. ICASSP Andrew McLeod, Eita Nakamura, Kazuyoshi Yoshii
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`	Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks. MLSP Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii
2019	J	`jnl`	Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network. CoRR Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii
2019	J	`jnl`	Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions. CoRR Eita Nakamura, Kazuyoshi Yoshii
2019	J	`jnl`	Statistical Learning and Estimation of Piano Fingering. CoRR Eita Nakamura, Yasuyuki Saito, 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	J	`jnl`	Bayesian Multichannel Audio Source Separation Based on Integrated Source and Spatial Models. IEEE ACM Trans. Audio Speech Lang. Process. Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
2018	—	`conf`	Independent Low-Rank Tensor Analysis for Audio Source Separation. EUSIPCO Kazuyoshi Yoshii, Koichi Kitamura, Yoshiaki Bando, Eita Nakamura, Tatsuya Kawahara
2018	—	`conf`	Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model. ISMIR Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, 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
2018	J	`jnl`	Statistical Piano Reduction Controlling Performance Difficulty. CoRR Eita Nakamura, Kazuyoshi Yoshii
2018	Misc	`conf`	Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization. ICASSP Eita Nakamura, Emmanouil Benetos, Kazuyoshi Yoshii, Simon Dixon
2017	J	`jnl`	Audio-Visual Beat Tracking Based on a State-Space Model for a Robot Dancer Performing with a Human Dancer. J. Robotics Mechatronics Misato Ohkita, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
2017	Misc	`conf`	Bayesian multichannel nonnegative matrix factorization for audio source separation and localization. ICASSP Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
2017	—	`conf`	Function- and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences. ISMIR Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
2017	J	`jnl`	Generative Statistical Models with Self-Emergent Grammar of Chord Sequences. CoRR Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
2017	—	`conf`	Infinite probabilistic latent component analysis for audio source separation. MLSP Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama, Masataka Goto
2017	J	`jnl`	Note Value Recognition for Piano Transcription Using Markov Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon
2017	J	`jnl`	Note Value Recognition for Rhythm Transcription Using a Markov Random Field Model for Musical Scores and Performances of Piano Music. CoRR Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon
2017	—	`conf`	Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment. ISMIR Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose
2017	J	`jnl`	Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices. CoRR Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama
2017	J	`jnl`	Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices. IEEE ACM Trans. Audio Speech Lang. Process. Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama
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`	A Hierarchical Bayesian Model of Chords, Pitches, and Spectrograms for Multipitch Analysis. ISMIR Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
2016	—	`conf`	A unified Bayesian model of time-frequency clustering and low-rank approximation for multi-channel source separation. EUSIPCO Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, 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
2016	J	`jnl`	Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. IEEE ACM Trans. Audio Speech Lang. Process. Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
2016	—	`conf`	Rhythm transcription of MIDI performances based on hierarchical Bayesian modelling of repetition and modification of musical note patterns. EUSIPCO Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
2016	Misc	`conf`	Tree-structured probabilistic model of monophonic written music based on the generative theory of tonal music. ICASSP Eita Nakamura, Masatoshi Hamanaka, Keiji Hirata, Kazuyoshi Yoshii
2015	—	`conf`	Automatic Piano Reduction from Ensemble Scores Based on Merged-Output Hidden Markov Model. ICMC Eita Nakamura, Shigeki Sagayama
2015	—	`conf`	Autoregressive Hidden Semi-Markov Model of Symbolic Music Performance for Score Following. ISMIR Eita Nakamura, Philippe Cuvillier, Arshia Cont, Nobutaka Ono, Shigeki Sagayama
2015	—	`conf`	Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals. MCM Eita Nakamura, Shinji Takaki
2015	J	`jnl`	Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. CoRR Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
2014	J	`jnl`	A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments. CoRR Eita Nakamura, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe
2014	—	`conf`	Merged-Output HMM for Piano Fingering of Both Hands. ISMIR Eita Nakamura, Nobutaka Ono, Shigeki Sagayama
2014	—	`conf`	Merged-Output Hidden Markov Model for Score Following of MIDI Performance with Ornaments, Desynchronized Voices, Repeats and Skips. ICMC Eita Nakamura, Nobutaka Ono, Yasuyuki Saito, Shigeki Sagayama
2014	J	`jnl`	Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following. CoRR Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono, Shigeki Sagayama