Publications

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Authors’ names in bold are Yamaha employees

Complexity Reduction for Classification of Musical Instruments Using Element Selection

Ryu Kato, Natsuki Ueno, Nobutaka Ono, Ryo Matsuda, Kazunobu Kondo,

2024 18th International Workshop on Acoustic Enhancement (IWAENC), 2024.

https://doi.org/10.1109/IWAENC61483.2024.10694115

International Conference

Music information retrieval, Signal processing

2024

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

AI, Machine learningMusic information retrieval, Signal processing

2024

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

AI, Machine learningMusic information retrieval, Signal processing

2023

Piano score rearrangement into multiple difficulty levels via notation-to-notation approach

Masahiro Suzuki,

EURASIP Journal on Audio, Speech, and Music Processing, vol. 2023, Article number: 52, 2023.

https://doi.org/10.1186/s13636-023-00321-7

Journal Paper

Music information retrieval, Signal processing

2023

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

AI, Machine learningMusic information retrieval, Signal processing

2024

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

AI, Machine learningMusic information retrieval, Signal processing

2024

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

AI, Machine learningMusic information retrieval, Signal processing

2024

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

AI, Machine learningMusic information retrieval, Signal processing

2024

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

AI, Machine learningMusic information retrieval, Signal processing

2023

Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds

Masaya Kawamura, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo,

Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

https://doi.org/10.48550/arXiv.2202.00200

International Conference

Music information retrieval, Signal processing

2022