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In November 2025, two co-authored papers were presented at the International Conference on Knowledge and Systems Engineering (KSE 2025), held in Da Lat, Vietnam. Kohei Tsuchida, Shun Sawada, Kouichi Katsurada and Hidefumi Ohmura, “Analysis of Section-Wise Syllable Usage and Its Relationship to Instrumentation in J-POP A Cappella Arrangements,” In Proceedings of International Conference on Knowledge and Systems Engineering (KSE), November 2025. Daichi Hoshikoshi, Shun Sawada,

In September 2025, Shun Sawada presented the following research at the European Signal Processing Conference (EUSIPCO 2025), held in Sicily, Italy. Shun Sawada, “Contrastive Audio-MIDI Learning for Symbolic-domain Musical Instrument Classification,” In Proceedings of EUSIPCO 2025, pp.426–430, September 2025. This study addresses the task of estimating musical instruments from symbolic music data such as MIDI. MIDI data contains performance information such as pitch and rhythm

In July 2025, a co-authored paper on subgenre classification of Electronic Dance Music (EDM) was presented at the Sound and Music Computing Conference (SMC 2025), held in Graz, Austria. Rintaro Uryu, Shun Sawada, Kouichi Katsurada, and Hidefumi Ohmura, “Electronic Dance Music Subgenre Classification Using Multi-Teacher Knowledge Distillation with Heterogeneous Features,” In Proceedings of Sound and Music Computing Conference (SMC), pp.34–40, July 2025.

In April 2025, a co-authored paper on speech synthesis from real-time MRI (rtMRI) articulatory data was presented at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), held in Hyderabad, India. Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada, “Investigating F0 Estimation in Speech Synthesis from Real-time MRI Articulatory Data,” In Proceedings of the 50th International Conference on Acoustics, Speech, and Signal Processing (ICA

In the 2025 academic year, the Music & Audio Intelligence Lab. was launched in the Department of Information Media Engineering at Nippon Institute of Technology. [Read more on the laboratory website]

In September 2024, a co-authored paper on melody harmonization was presented at the International Conference on AI and Musical Creativity (AIMC 2024), held in Oxford, United Kingdom. Honoka Hida, Shun Sawada, Kouichi Katsurada, Takuro Shibayama, Hidefumi Ohmura, “Flexible Melody Harmonization with Rhythmic Complexity based on Cognitive Music Theory,” In Proceedings of the International Conference on AI and Musical Creativity (AIMC), September 2024.

In August 2024, Shun Sawada presented the following research at the European Signal Processing Conference (EUSIPCO 2024), held in Lyon, France. Shun Sawada, “Symbolic-domain Musical Instrument Classification using Knowledge Distillation from Audio-teacher to Symbolic-student,” In Proceedings of EUSIPCO 2024, pp.191–195, August 2024. This study addressed musical instrument classification using symbolic music data such as MIDI. Symbolic music data contains information such as p

In October 2023, two co-authored studies on music information retrieval were presented at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2023), held in New Paltz, New York. Kenta Ogawa, Shun Sawada, Kouichi Katsurada, Hidefumi Ohmura, “Automatic Detection of Poor Tone Quality in Classical Guitar Playing Using Deep Anomaly Detection Method,” In Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPA

In August 2023, a co-authored paper on speech synthesis from articulatory movements recorded using real-time MRI (rtMRI) was presented at Interspeech 2023, held in Dublin, Ireland. Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada, “Speech Synthesis from Articulatory Movements Recorded by Real-time MRI,” In Proceedings of Interspeech, pp.127–131, August 2023.