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 (ICMC, 2014)

Merged-Output HMM for Piano Fingering of Both Hands. - Eita Nakamura; Nobutaka Ono; Shigeki Sagayama (ISMIR, 2014)

Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following. - Eita Nakamura; Tomohiko Nakamura; Yasuyuki Saito; Nobutaka Ono; Shigeki Sagayama (CoRR, 2014)

A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments. - Eita Nakamura; Nobutaka Ono; Shigeki Sagayama; Kenji Watanabe (CoRR, 2014)

Automatic Piano Reduction from Ensemble Scores Based on Merged-Output Hidden Markov Model. - Eita Nakamura; Shigeki Sagayama (ICMC, 2015)

Autoregressive Hidden Semi-Markov Model of Symbolic Music Performance for Score Following. - Eita Nakamura; Philippe Cuvillier; Arshia Cont; Nobutaka Ono; Shigeki Sagayama (ISMIR, 2015)

Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals. - Eita Nakamura; Shinji Takaki (MCM, 2015)

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 (EUSIPCO, 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 (EUSIPCO, 2016)

Tree-structured probabilistic model of monophonic written music based on the generative theory of tonal music. - Eita Nakamura; Masatoshi Hamanaka; Keiji Hirata 001; Kazuyoshi Yoshii (ICASSP, 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 (ISMIR, 2016)

A Hierarchical Bayesian Model of Chords, Pitches, and Spectrograms for Multipitch Analysis. - Yuta Ojima; Eita Nakamura; Katsutoshi Itoyama; Kazuyoshi Yoshii (ISMIR, 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)

Bayesian multichannel nonnegative matrix factorization for audio source separation and localization. - Kousuke Itakura; Yoshiaki Bando; Eita Nakamura; Katsutoshi Itoyama; Kazuyoshi Yoshii; Tatsuya Kawahara (ICASSP, 2017)

Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment. - Eita Nakamura; Kazuyoshi Yoshii; Haruhiro Katayose (ISMIR, 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 (ISMIR, 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 (ISMIR, 2017)

Infinite probabilistic latent component analysis for audio source separation. - Kazuyoshi Yoshii; Eita Nakamura; Katsutoshi Itoyama; Masataka Goto (MLSP, 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)

Generative Statistical Models with Self-Emergent Grammar of Chord Sequences. - Hiroaki Tsushima; Eita Nakamura; Katsutoshi Itoyama; Kazuyoshi Yoshii (CoRR, 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)

Note Value Recognition for Piano Transcription Using Markov Random Fields. - Eita Nakamura; Kazuyoshi Yoshii; Simon Dixon (IEEE ACM Trans. Audio Speech Lang. Process., 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)

Probabilistic Sequential Patterns for Singing Transcription. - Eita Nakamura; Ryo Nishikimi; Simon Dixon; Kazuyoshi Yoshii (APSIPA, 2018)

Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet. - Yusuke Wada; Ryo Nishikimi; Eita Nakamura; Katsutoshi Itoyama; Kazuyoshi Yoshii (APSIPA, 2018)

Independent Low-Rank Tensor Analysis for Audio Source Separation. - Kazuyoshi Yoshii; Koichi Kitamura; Yoshiaki Bando; Eita Nakamura; Tatsuya Kawahara (EUSIPCO, 2018)

Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization. - Eita Nakamura; Emmanouil Benetos; Kazuyoshi Yoshii; Simon Dixon (ICASSP, 2018)

Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model. - Hiroaki Tsushima; Eita Nakamura; Katsutoshi Itoyama; Kazuyoshi Yoshii (ISMIR, 2018)

Statistical Piano Reduction Controlling Performance Difficulty. - Eita Nakamura; Kazuyoshi Yoshii (CoRR, 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)

Chord Function Identification with Modulation Detection Based on HMM. - Yui Uehara; Eita Nakamura; Satoshi Tojo (CMMR, 2019)

Improved Metrical Alignment of Midi Performance Based on a Repetition-aware Online-adapted Grammar. - Andrew McLeod; Eita Nakamura; Kazuyoshi Yoshii (ICASSP, 2019)

Unsupervised Melody Style Conversion. - Eita Nakamura; Kentaro Shibata; Ryo Nishikimi; Kazuyoshi Yoshii (ICASSP, 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 (ICASSP, 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 (ICASSP, 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 (ICASSP, 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 (ISMIR, 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 (MLSP, 2019)

End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism. - Ryo Nishikimi; Eita Nakamura; Masataka Goto; Kazuyoshi Yoshii (WASPAA, 2019)

Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions. - Eita Nakamura; Kazuyoshi Yoshii (CoRR, 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)

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 (APSIPA, 2020)

A Variational Autoencoder for Joint Chord and Key Estimation from Audio Chromagrams. - Yiming Wu 003; Eita Nakamura; Kazuyoshi Yoshii (APSIPA, 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 (LifeTech, 2020)

Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords. - Yiming Wu 003; Tristan Carsault; Eita Nakamura; Kazuyoshi Yoshii (CoRR, 2020)

Statistical learning and estimation of piano fingering. - Eita Nakamura; Yasuyuki Saito; Kazuyoshi Yoshii (Inf. Sci., 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)

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)

Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features. - Yiming Wu 003; Tristan Carsault; Eita Nakamura; Kazuyoshi Yoshii (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

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 (ICASSP, 2021)

Joint Estimation of Note Values and Voices for Audio-to-Score Piano Transcription. - Yuki Hiramatsu; Eita Nakamura; Kazuyoshi Yoshii (ISMIR, 2021)

Musical rhythm transcription based on Bayesian piece-specific score models capturing repetitions. - Eita Nakamura; Kazuyoshi Yoshii (Inf. Sci., 2021)

Non-local musical statistics as guides for audio-to-score piano transcription. - Kentaro Shibata; Eita Nakamura; Kazuyoshi Yoshii (Inf. Sci., 2021)

End-to-End Lyrics Transcription Informed by Pitch and Onset Estimation. - Tengyu Deng; Eita Nakamura; Kazuyoshi Yoshii (ISMIR, 2022)

Tracking the Evolution of a Band's Live Performances over Decades. - Florian Thalmann; Eita Nakamura; Kazuyoshi Yoshii (ISMIR, 2022)

Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks. - Pedro Ramoneda; Dasaem Jeong; Eita Nakamura; Xavier Serra; Marius Miron (ACM Multimedia, 2022)

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 (APSIPA ASC, 2023)

CTC2: End-to-End Drum Transcription Based on Connectionist Temporal Classification With Constant Tempo Constraint. - Daichi Kamakura; Eita Nakamura; Kazuyoshi Yoshii (APSIPA ASC, 2023)

Evolutionary Analysis and Cultural Transmission Models of Color Style Distributions in Painting Arts. - Eita Nakamura; Yasuyuki Saito (APSIPA ASC, 2023)

Computational Analysis of Audio Recordings of Piano Performance for Automatic Evaluation. - Norihiro Kato; Eita Nakamura; Kyoko Mine; Orie Doeda; Masanao Yamada (EC-TEL, 2023)

Neural Band-to-Piano Score Arrangement with Stepless Difficulty Control. - Moyu Terao; Eita Nakamura; Kazuyoshi Yoshii (ICASSP, 2023)

On the Importance of Time and Pitch Relativity for Transformer-Based Symbolic Music Generation. - Tatsuro Inaba; Kazuyoshi Yoshii; Eita Nakamura (APSIPA, 2024)

Modeling the Evolution of Harmony in Popular Music from Different Cultural Contexts. - Fabian C. Moss; Eita Nakamura (CHR, 2024)

Cluster and Separate: A GNN Approach to Voice and Staff Prediction for Score Engraving. - Francesco Foscarin; Emmanouil Karystinaios; Eita Nakamura; Gerhard Widmer (ISMIR, 2024)