Publications

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Authors’ names in bold are Yamaha employees

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

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

Forum Acousticum, pp. 375-381, 2023.

https://www.doi.org/10.61782/fa.2023.0199

International Conference

AI, Machine learningSimulation, Measurements

2023

Music 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

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.

http://hdl.handle.net/10230/58108

International Conference

AI, Machine learning

2023

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

2023

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

Rendering Music Performance With Interpretation Variations Using Conditional Variational RNN

Akira Maezawa, Kazuhiko Yamamoto, Takuya Fujishima,

Proceedings of the International Conference on Music Information Retrieval (ISMIR), pp. 855-861, 2019.

https://doi.org/10.5281/zenodo.3527948

International Conference

AI, Machine learningKANSEI engineering

2019

Unified Inter- and Intra-recording Duration Model for Multiple Music Audio Alignment

Akira Maezawa, Katsutoshi Itoyama, Kazuyoshi Yoshii, Hiroshi G. Okuno,

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015.

https://doi.org/10.1109/WASPAA.2015.7336929

International Conference

AI, Machine learningHuman interface

2015

Automatic Music Accompaniment Based on Audio-visual Score Following

Akira Maezawa, Kazuhiko Yamamoto,

The International Society for Music Information Retrieval (ISMIR) 2016 Late-breaking, 2016.

International Conference

AI, Machine learningHuman interface

2016

MuEns: A Multimodal Human-Machine Music Ensemble for Live Concert Performance

Akira Maezawa, Kazuhiko Yamamoto,

Proceedings of the 2017 ACM CHI Conference on Human Factors in Computing Systems, pp. 4290–4301, 2017.

https://doi.org/10.1145/3025453.3025505

International Conference

AI, Machine learningHuman interface

2017