論文リスト

Kanami Imamura, Tomohiko Nakamura, Kohei Yatabe, and Hiroshi Saruwatari, "Dissecting performance degradation in audio source separation under sampling frequency mismatch," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2026.

Karl Schrader, Shoichi Koyama, Tomohiko Nakamura, and Mirco Pezzoli, "Phase-retrieval-based physics-informed neural networks for acoustic magnitude field reconstruction," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2026.

Shinnosuke Takamichi, Tomohiko Nakamura, Hitoshi Suda, Satoru Fukayama, and Jun Ogata, "MangaVox: Dataset of acted voices aligned with manga images towards computer understanding of audio comics," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2026.

Kentaro Onda, Satoru Fukayama, Daisuke Saito, Nobuaki Minematsu, "Benchmarking Prosody Encoding in Discrete Speech Tokens," in Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Dec. 2025.

Go Nishikawa*, Wataru Nakata*, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari, and Tomohiko Nakamura, "Multi-sampling-frequency naturalness MOS prediction using self-supervised learning model with sampling-frequency-independent layer," in Proceedings of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Dec. 2025. (*: equal contribution)

Nobutaka Ito, "Introducing fast multichannel nonnegative matrix factorization for underdetermined blind audio source separation," Joint Meeting of the Acoustical Society of America and the Acoustical Society of Japan, Dec. 2025.

Kanami Imamura, Tomohiko Nakamura, Kohei Yatabe, and Hiroshi Saruwatari, "Continuous function approximation of convolutional kernels for sampling frequency adaptation of pre-trained source separation networks," Joint Meeting of the Acoustical Society of America and the Acoustical Society of Japan, Dec. 2025.

Kanami Imamura, Tomohiko Nakamura, Norihiro Takamune, Kohei Yatabe, and Hiroshi Saruwatari, "Stride conversion algorithms for convolutional layers and its application to sampling-frequency-independent deep neural networks," Signal Processing, Dec. 2025.

Yuta Amezawa, Tomohiko Nakamura, Takahiro Shiina, Satoru Fukayama, Jun Ogata, Hiroki Kuroda, and Takahiko Uchide, "Automatic detection and extraction of later phase in S coda using machine learning for crustal heterogeneity exploration," ACES (APEC Cooperation for Earthquake Science) International Workshop, Nov. 2025.

Yu Hayashizaki, Takashi Nose, Sumiharu Kobayashi, Satoru Fukayama, Akinori Ito, "PUNSER: Large-Scale Pre-trained and Unified Model for Practical Speech Emotion Recognition," in Proceedings of the 17th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, Oct. 2025.