Publications

Recent investigations using an artificial player for brass instruments

Vincent Freour, Kazuhiro Fujita, Tetsuro Shoji, Hideyuki Masuda, Keita Arimoto, Vincent Long, Laurent Sabatier, Christophe Vergez, Bruno Cochelin,

Proceedings of Internoise, 2024.

International Conference

Mobile-AMT: Real-time Polyphonic Piano Transcription for In-the-Wild Recordings

Yuta Kusaka, Akira Maezawa,

32nd European Signal Processing Conference (EUSIPCO), 2024.

International Conference

Creation of an experimental database, for the validation of resonator models, comparison of geometries and materials, and quantification of measurement errors

Jeremy Cabaret, Jean-Pierre Dalmont, Augustin Ernoult, Vincent Freour, Romain Viala,

Forum Acousticum, pp. 3447-3451, 2023.

https://www.doi.org/10.61782/fa.2023.0490

International Conference

Demo of ‘Daredemo Piano’: An Accompaniment Piano Tuned for Novice Players

Akira Maezawa,

Proceedings of International Symposium on AI and Music Performance (ISAIMP), 2023.

Invited Talk

I Got Rhythm, so Follow Me More: Modeling Score-dependent Timing Synchronization in a Piano Duet

Akira Maezawa,

Proceedings of Sound and Music Computing Conference (SMC), 2024.

International Conference

Simulating Piano Performance Mistakes for Music Learning Contexts

Alia Morsi, Huan Zhang, Akira Maezawa, Simon Dixon, Xavier Serra,

Proceedings of Sound and Music Computing Conference (SMC), 2024.

http://hdl.handle.net/10230/60657

International Conference

Combining Hand Pose Estimation with Audio for Noise-robust Piano Score Following

Kaitlin Pet, Akira Maezawa,

Proceedings of Sound and Music Computing Conference (SMC), 2024.

International Conference

A Data-Driven Analysis of Robust Automatic Piano Transcription

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

IEEE Signal Processing Letters, vol. 31, pp. 681-685, 2024.

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

Journal Paper

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, vol. 31, pp. 2680-2694, 2023.

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

Journal Paper

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,

Forum Acousticum, pp. 1173-1176, 2023.

https://www.doi.org/10.61782/fa.2023.0281

International Conference