Akira Maezawa. “Using AI to inspire musicians.” AIxMusic Industry Application Oriented Research Session, Ars Electronica Festival. 2019.
Akira Maezawa, Kazuhiko Yamamoto, Takuya Fujishima. “Rendering Music Performance With Interpretation Variations Using Conditional Variational RNN.” Proceedings of the Internal Conference on Music Information Retrieval (ISMIR), pp. 855-861, 2019.
Akira Maezawa. “Deep Linear Autoregressive Model for Interpretable Prediction of Expressive Tempo.” Proceedings of the Sound and Music Computing Conference (SMC), pp. 364-371, 2019.
Bochen Li, Akira Maezawa, and Zhiyao Duan, “Skeleton Plays Piano: Online Generation of Pianist body Movements from MIDI Performance”, in Proc. International Society for Music Information Retrieval (ISMIR), 2018.
Akira Maezawa, Kazuhiko Yamamoto. “MuEns: A Multimodal Human-Machine Music Ensemble for Live Concert Performance.” Proceedings of the 2017 ACM CHI Conference on Human Factors in Computing Systems (CHI ’17; 25% acceptance rate), pp. 4290–4301, 2017.
Akira Maezawa, Kazuhiko Yamamoto, “Automatic music accompaniment based on audio-visual score following” in ISMIR 2016 Late-breaking
Akira Maezawa, Katsutoshi Itoyama, Kazuyoshi Yoshii, Hiroshi G. Okuno. “Unified inter- and intra-recording duration model for multiple music audio alignment” Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015