Eita Nakamura

发表

Joint Transcription of Lead, Bass, and Rhythm Guitars Based on a Factorial Hidden Semi-Markov Model

Masataka Goto, Kentaro Shibata, Ryo Nishikimi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Scale- and Rhythm-Aware Musical Note Estimation for Vocal F0 Trajectories Based on a Semi-Tatum-Synchronous Hierarchical Hidden Semi-Markov Model

Masataka Goto, Ryo Nishikimi, Eita Nakamura, 2017, ISMIR.

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

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2016, ISMIR.

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

Eita Nakamura, Shigeki Sagayama, S. Sagayama, 2015, ICMC.

Unsupervised Melody Style Conversion

Kentaro Shibata, Ryo Nishikimi, Eita Nakamura, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Drum Transcription Based on Nonnegative Matrix Factor Decomposition with a Deep Score Prior

Kentaro Shibata, Ryo Nishikimi, Eita Nakamura, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Eita Nakamura, Kazuyoshi Yoshii, Eita Nakamura, 2019, ArXiv.

Sequential Generation of Singing F0 Contours from Musical Note Sequences Based on WaveNet

Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

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

Andrew McLeod, Eita Nakamura, Kazuyoshi Yoshii, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Note Value Recognition for Piano Transcription Using Markov Random Fields

Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model

Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, 2019, ISMIR.

Statistical Piano Reduction Controlling Performance Difficulty pdf

Eita Nakamura, Kazuyoshi Yoshii, Eita Nakamura, 2018, ArXiv.

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

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2017, J. Robotics Mechatronics.

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

Yasuyuki Saito, Eita Nakamura, Shigeki Sagayama, 2014, ICMC.

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

Eita Nakamura, Tristan Carsault, Kazuyoshi Yoshii, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Infinite probabilistic latent component analysis for audio source separation

Masataka Goto, Eita Nakamura, Katsutoshi Itoyama, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Chord-aware automatic music transcription based on hierarchical Bayesian integration of acoustic and language models

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2018 .

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

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2017, ISMIR.

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

Eita Nakamura, Kazuyoshi Yoshii, Masatoshi Hamanaka, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Tatsuya Kawahara, Eita Nakamura, Katsutoshi Itoyama, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following

Yasuyuki Saito, Eita Nakamura, Shigeki Sagayama, 2014, ArXiv.

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

Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

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

Eita Nakamura, Kazuyoshi Yoshii, Haruhiro Katayose, 2017, ISMIR.

Generative statistical models with self-emergent grammar of chord sequences

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2017, ArXiv.

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

Eita Nakamura, Kazuyoshi Yoshii, Shigeki Sagayama, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

Eita Nakamura, Shigeki Sagayama, Arshia Cont, 2015, ISMIR.

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

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2018, ISMIR.

Automatic Singing Transcription Based on Encoder-decoder Recurrent Neural Networks with a Weakly-supervised Attention Mechanism

Masataka Goto, Ryo Nishikimi, Satoru Fukayama, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Musical Note Estimation for F0 Trajectories of Singing Voices Based on a Bayesian Semi-Beat-Synchronous HMM

Ryo Nishikimi, Eita Nakamura, Katsutoshi Itoyama, 2016, ISMIR.

Independent Low-Rank Tensor Analysis for Audio Source Separation

Tatsuya Kawahara, Eita Nakamura, Kazuyoshi Yoshii, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

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

Eita Nakamura, Kazuyoshi Yoshii, Simon Dixon, 2017, ArXiv.

Statistical Learning and Estimation of Piano Fingering pdf

Yasuyuki Saito, Eita Nakamura, Kazuyoshi Yoshii, 2019, Inf. Sci..

Merged-Output HMM for Piano Fingering of Both Hands

Eita Nakamura, Shigeki Sagayama, Nobutaka Ono, 2014, ISMIR.

A Stochastic Temporal Model of Polyphonic MIDI Performance with Ornaments

Eita Nakamura, Kenji Watanabe, Shigeki Sagayama, 2014, ArXiv.

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

Eita Nakamura, Shigeki Sagayama, Tomohiko Nakamura, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Bayesian multichannel nonnegative matrix factorization for audio source separation and localization

Tatsuya Kawahara, Eita Nakamura, Katsutoshi Itoyama, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Eita Nakamura, Shinji Takaki, Shinji Takaki, 2015, MCM.

Probabilistic Sequential Patterns for Singing Transcription

Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Non-Local Musical Statistics as Guides for Audio-to-Score Piano Transcription

Eita Nakamura, Kazuyoshi Yoshii, Kentaro Shibata, 2021, Inf. Sci..

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

Eita Nakamura, Kazuyoshi Yoshii, Eita Nakamura, 2021, Inf. Sci..

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

Eita Nakamura, Kazuyoshi Yoshii, Yuki Hiramatsu, 2021, ISMIR.

Statistical Correction of Transcribed Melody Notes Based on Probabilistic Integration of a Music Language Model and a Transcription Error Model

Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

ACOUSTIC SCORE FOLLOWING TO MUSICAL PERFORMANCE WITH ERRORS AND ARBITRARY REPEATS AND SKIPS FOR AUTOMATIC ACCOMPANIMENT

Eita Nakamura, Shigeki Sagayama, Tomohiko Nakamura, 2013 .