Eita Nakamura

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 59

Top Topics

Source Separation

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Francesco Foscarin, Emmanouil Karystinaios, Eita Nakamura, Gerhard Widmer
Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving. CoRR (2024)
Moyu Terao, Eita Nakamura, Kazuyoshi Yoshii
Neural Band-to-Piano Score Arrangement with Stepless Difficulty Control. ICASSP (2023)
Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii
Audio-to-Score Singing Transcription Based on Joint Estimation of Pitches, Onsets, and Metrical Positions With Tatum-Level CTC Loss. APSIPA ASC (2023)
Eita Nakamura, Yasuyuki Saito
Evolutionary Analysis and Cultural Transmission Models of Color Style Distributions in Painting Arts. APSIPA ASC (2023)
Daichi Kamakura, Eita Nakamura, Kazuyoshi Yoshii
CTC2: End-to-End Drum Transcription Based on Connectionist Temporal Classification With Constant Tempo Constraint. APSIPA ASC (2023)
Norihiro Kato, Eita Nakamura, Kyoko Mine, Orie Doeda, Masanao Yamada
Computational Analysis of Audio Recordings of Piano Performance for Automatic Evaluation. EC-TEL (2023)
Pedro Ramoneda, Dasaem Jeong, Eita Nakamura, Xavier Serra, Marius Miron
Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks. ACM Multimedia (2022)
Tengyu Deng, Eita Nakamura, Kazuyoshi Yoshii
End-to-End Lyrics Transcription Informed by Pitch and Onset Estimation. ISMIR (2022)
Florian Thalmann, Eita Nakamura, Kazuyoshi Yoshii
Tracking the Evolution of a Band's Live Performances over Decades. ISMIR (2022)
Yuki Hiramatsu, Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model. ICASSP (2021)
Eita Nakamura, Kazuyoshi Yoshii
Musical rhythm transcription based on Bayesian piece-specific score models capturing repetitions. Inf. Sci. 572 (2021)
Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii
Non-local musical statistics as guides for audio-to-score piano transcription. Inf. Sci. 566 (2021)
Yuki Hiramatsu, Eita Nakamura, Kazuyoshi Yoshii
Joint Estimation of Note Values and Voices for Audio-to-Score Piano Transcription. ISMIR (2021)
Yiming Wu, Eita Nakamura, Kazuyoshi Yoshii
A Variational Autoencoder for Joint Chord and Key Estimation from Audio Chromagrams. APSIPA (2020)
Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. APSIPA (2020)
Hiroaki Tsushima, Eita Nakamura, Kazuyoshi Yoshii
Bayesian Melody Harmonization Based on a Tree-Structured Generative Model of Chord Sequences and Melodies. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Yasuyuki Saito, Yasuji Sakai, Yuu Igarashi, Suguru Agata, Eita Nakamura, Shigeki Sagayama
Music Recreation in Nursing Home using Automatic Music Accompaniment System and Score of VLN. LifeTech (2020)
Ryoto Ishizuka, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training. CoRR (2020)
Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii
Statistical learning and estimation of piano fingering. Inf. Sci. 517 (2020)
Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii
Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords. CoRR (2020)
Kentaro Shibata, Eita Nakamura, Kazuyoshi Yoshii
Non-Local Musical Statistics as Guides for Audio-to-Score Piano Transcription. CoRR (2020)
Yiming Wu, Tristan Carsault, Eita Nakamura, Kazuyoshi Yoshii
Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii
Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Kentaro Shibata, Ryo Nishikimi, Satoru Fukayama, Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model. ICASSP (2019)
Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii
Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network. CoRR (2019)
Shun Ueda, Kentaro Shibata, Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior. ICASSP (2019)
Eita Nakamura, Kazuyoshi Yoshii
Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions. CoRR (2019)
Yui Uehara, Eita Nakamura, Satoshi Tojo
Chord Function Identification with Modulation Detection Based on HMM. CMMR (2019)
Tristan Carsault, Andrew McLeod, Philippe Esling, Jérôme Nika, Eita Nakamura, Kazuyoshi Yoshii
Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks. MLSP (2019)
Eita Nakamura, Kentaro Shibata, Ryo Nishikimi, Kazuyoshi Yoshii
Unsupervised Melody Style Conversion. ICASSP (2019)
Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii
Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model. ISMIR (2019)
Ryo Nishikimi, Eita Nakamura, Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii
Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism. ICASSP (2019)
Andrew McLeod, Eita Nakamura, Kazuyoshi Yoshii
Improved Metrical Alignment of Midi Performance Based on a Repetition-aware Online-adapted Grammar. ICASSP (2019)
Ryo Nishikimi, Eita Nakamura, Masataka Goto, Kazuyoshi Yoshii
End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism. WASPAA (2019)
Eita Nakamura, Yasuyuki Saito, Kazuyoshi Yoshii
Statistical Learning and Estimation of Piano Fingering. CoRR (2019)
Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
Bayesian Multichannel Audio Source Separation Based on Integrated Source and Spatial Models. IEEE ACM Trans. Audio Speech Lang. Process. 26 (4) (2018)
Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model. ISMIR (2018)
Eita Nakamura, Ryo Nishikimi, Simon Dixon, Kazuyoshi Yoshii
Probabilistic Sequential Patterns for Singing Transcription. APSIPA (2018)
Yusuke Wada, Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet. APSIPA (2018)
Eita Nakamura, Kazuyoshi Yoshii
Statistical Piano Reduction Controlling Performance Difficulty. CoRR (2018)
Kazuyoshi Yoshii, Koichi Kitamura, Yoshiaki Bando, Eita Nakamura, Tatsuya Kawahara
Independent Low-Rank Tensor Analysis for Audio Source Separation. EUSIPCO (2018)
Eita Nakamura, Emmanouil Benetos, Kazuyoshi Yoshii, Simon Dixon
Towards Complete Polyphonic Music Transcription: Integrating Multi-Pitch Detection and Rhythm Quantization. ICASSP (2018)
Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama
Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices. CoRR (2017)
Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose
Performance Error Detection and Post-Processing for Fast and Accurate Symbolic Music Alignment. ISMIR (2017)
Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama
Rhythm Transcription of Polyphonic Piano Music Based on Merged-Output HMM for Multiple Voices. IEEE ACM Trans. Audio Speech Lang. Process. 25 (4) (2017)
Misato Ohkita, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Audio-Visual Beat Tracking Based on a State-Space Model for a Robot Dancer Performing with a Human Dancer. J. Robotics Mechatronics 29 (1) (2017)
Kazuyoshi Yoshii, Eita Nakamura, Katsutoshi Itoyama, Masataka Goto
Infinite probabilistic latent component analysis for audio source separation. MLSP (2017)
Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon
Note Value Recognition for Piano Transcription Using Markov Random Fields. IEEE ACM Trans. Audio Speech Lang. Process. 25 (9) (2017)
Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Generative Statistical Models with Self-Emergent Grammar of Chord Sequences. CoRR (2017)
Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Function- and Rhythm-Aware Melody Harmonization Based on Tree-Structured Parsing and Split-Merge Sampling of Chord Sequences. ISMIR (2017)
Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon
Note Value Recognition for Rhythm Transcription Using a Markov Random Field Model for Musical Scores and Performances of Piano Music. CoRR (2017)
Ryo Nishikimi, Eita Nakamura, Masataka Goto, Katsutoshi Itoyama, Kazuyoshi Yoshii
Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model. ISMIR (2017)
Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara
Bayesian multichannel nonnegative matrix factorization for audio source separation and localization. ICASSP (2017)
Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM. ISMIR (2016)
Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. IEEE ACM Trans. Audio Speech Lang. Process. 24 (2) (2016)
Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
Rhythm transcription of MIDI performances based on hierarchical Bayesian modelling of repetition and modification of musical note patterns. EUSIPCO (2016)
Yuta Ojima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
A Hierarchical Bayesian Model of Chords, Pitches, and Spectrograms for Multipitch Analysis. ISMIR (2016)
Eita Nakamura, Masatoshi Hamanaka, Keiji Hirata, Kazuyoshi Yoshii
Tree-structured probabilistic model of monophonic written music based on the generative theory of tonal music. ICASSP (2016)
Kousuke Itakura, Yoshiaki Bando, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
A unified Bayesian model of time-frequency clustering and low-rank approximation for multi-channel source separation. EUSIPCO (2016)
Eita Nakamura, Shigeki Sagayama
Automatic Piano Reduction from Ensemble Scores Based on Merged-Output Hidden Markov Model. ICMC (2015)
Tomohiko Nakamura, Eita Nakamura, Shigeki Sagayama
Real-Time Audio-to-Score Alignment of Music Performances Containing Errors and Arbitrary Repeats and Skips. CoRR (2015)
Eita Nakamura, Philippe Cuvillier, Arshia Cont, Nobutaka Ono, Shigeki Sagayama
Autoregressive Hidden Semi-Markov Model of Symbolic Music Performance for Score Following. ISMIR (2015)
Eita Nakamura, Shinji Takaki
Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals. MCM (2015)
Eita Nakamura, Nobutaka Ono, Shigeki Sagayama
Merged-Output HMM for Piano Fingering of Both Hands. ISMIR (2014)
Eita Nakamura, Nobutaka Ono, Yasuyuki Saito, Shigeki Sagayama
Merged-Output Hidden Markov Model for Score Following of MIDI Performance with Ornaments, Desynchronized Voices, Repeats and Skips. ICMC (2014)
Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito, Nobutaka Ono, Shigeki Sagayama
Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following. CoRR (2014)
Eita Nakamura, Nobutaka Ono, Shigeki Sagayama, Kenji Watanabe
A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments. CoRR (2014)