Publications

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Authors’ names in bold are Yamaha employees

Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing

Yixiao Zhang, Akira Maezawa, Gus Xia, Kazuhiko Yamamoto, Simon Dixon,

ACM Conference on Intelligent User Interfaces (ACM IUI) 2024.

https://doi.org/10.48550/arXiv.2310.12404

International Conference

AI, Machine learning

2024

A Data-Driven Analysis of Robust Automatic Piano Transcription

Drew Edwards, Simon Dixon, Emmanouil Benetos, Akira Maezawa, Yuta Kusaka,

IEEE Signal Processing Letters, 2024.

https://doi.org/10.48550/arXiv.2402.01424

International Conference

AI, Machine learning

2024

Automatic Production of Acoustic Piano Transcription Data

Andrew Edwards, Simon Dixon, Akira Maezawa, Yuta Kusaka,

Proceedings of the International Society for Music Information Retrieval (ISMIR), 2023.

International Conference

AI, Machine learning

2023

Automatic Accompaniment from a Lead-sheet by Jointly Tracking at Chord and Downbeat Level

Akira Maezawa,

Proceedings of the International Society for Music Information Retrieval (ISMIR), 2023.

International Conference

AI, Machine learning

2023

Sounds Out of Pläce? Score-Independent Detection of Conspicuous Mistakes in Piano Performances

Alia Morsi, Kana Tatsumi, Akira Maezawa, Takuya Fujishima, Xavier Serra,

Proceedings of the International Society for Music Information Retrieval (ISMIR), pp. 352-358, 2023.

International Conference

AI, Machine learning

2023

Contribution of Machine Learning and Physics-based Sound Simulations for the Characterization of Brass Instruments

Jean-François Petiot, Vincent Freour, Misael Roatta, Keita Arimoto,

Proceedings of the Forum Acousticum, 2023.

International Conference

AI, Machine learningSimulation, Measurements

2023

Machine Learning Applied to the Prediction of Trumpet Bifurcation Diagrams: Towards a Tool for Trumpet Designers

Vincent Freour, Mimoun Mohamed, Valentin Emiya, Bruno Cochelin, Christophe Vergez,

Proceedings of the Forum Acousticum, 2023.

International Conference

AI, Machine learningSimulation, Measurements

2023

PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Music Source Separation

Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo,

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.

https://doi.org/10.1109/TASLP.2023.3293044

Journal Paper

AI, Machine learningMusic information retrieval, Signal processing

2023

PoP-IDLMA: Product-of-Prior Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation

Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo,

IEEE Transactions on Audio, Speech and Language Processing, vol. 31, pp. 2680-2694

https://doi.org/10.1109/TASLP.2023.3293044

Journal Paper

AI, Machine learningMusic information retrieval, Signal processing

2023

Boundary Detection Considering Local Contextual Information based on Implication-Realization Model

Kaede Noto, Akira Maezawa, Yoshinari Takegawa, Takuya Fujishima, Keiji Hirata,

Proceedings of the Sound and Music Computing Conference (SMC), 2023.

https://doi.org/10.5281/zenodo.8398985

International Conference

AI, Machine learning

2023