ジャーナル論文 / Journal
  1. Yamagiwa, H., Hashimoto, R., Arakane, K., Murakami, K., Soeda, S., Oyama, M., Zhu, Y., Okada, M., and Shimodaira, H., "Predicting drug–gene relations via analogy tasks with word embeddings", Sci. Rep. 15(1), 17240, (2025).
  2. Sekiguchi, K., Bando, Y., Nugraha, A., Fontaine, M., Yoshii, K., and Kawahara, T., "Autoregressive Moving Average Jointly-Diagonalizable Spatial Covariance Analysis for Joint Source Separation and Dereverberation", IEEE/ACM Trans. Audio, Speech, Language Process. 30, 2368–2382, (2022).
  3. Fontaine, M., Sekiguchi, K., Nugraha, A., Bando, Y., and Yoshii, K., "Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation", IEEE/ACM Trans. Audio, Speech, Language Process. 30, 1734–1748, (2022).
  4. Bando, Y., Sekiguchi, K., Masuyama, Y., Nugraha, A., Fontaine, M., and Yoshii, K., "Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation", IEEE Signal Processing Lett. 28, 1670–1674, (2021).
国際会議 / Proceedings
  1. Oyama, M., Yamagiwa, H., Takase, Y., and Shimodaira, H., "Mapping 1,000+ Language Models via the Log-Likelihood Vector", Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 32983–33038, (2025).
  2. Oyama, M., Kishino, R., Yamagiwa, H., and Shimodaira, H., "Likelihood Variance as Text Importance for Resampling Texts to Map Language Models", Findings of the Association for Computational Linguistics: EMNLP 2025, 9453–9465, (2025).
  3. Nihei, R., Bando, Y., Nugraha, A., Di Carlo, D., Ueda, H., Ito, Y., and Yoshii, K., "Joint Separation and Tracking of Moving Sources with Distributed Microphone Arrays Based on Time-Varying Inertial Spatial Models", 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 00, 30–35, (2025).
  4. Liu, H., Di Carlo, D., Nugraha, A., Yoshii, K., Richard, G., and Fontaine, M., "Physically Informed Spatial Regularization for Sound Event Localization and Detection", 2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 00, 1–5, (2025).
  5. Di Carlo, D., Fontaine, M., Nugraha, A., Bando, Y., and Yoshii, K., "SHAMaNS: Sound Localization with Hybrid Alpha-Stable Spatial Measure and Neural Steerer", 2025 33rd European Signal Processing Conference (EUSIPCO), 216–220, (2025).
  6. Asano, H., Nihei, R., Bando, Y., Nugraha, A., Di Carlo, D., Ueda, H., Ito, Y., and Yoshii, K., "Visually-Informed Multichannel Sound Source Separation Based on 3D Gaussian Primitives", 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 00, 36–41, (2025).
  7. Sumura, Y., Di Carlo, D., Nugraha, A., Bando, Y., and Yoshii, K., "Joint Audio Source Localization and Separation with Distributed Microphone Arrays Based on Spatially-Regularized Multichannel NMF", 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC), 145–149, (2024).
  8. Naylor, P., Di Carlo, D., Traviglia, A., Yamada, M., and Fiorucci, M., "IMPLICIT NEURAL REPRESENTATION FOR CHANGE DETECTION", Implicit Neural Representation for Change Detection, 935–945, (2024).
  9. Kelley, L., Di Carlo, D., Nugraha, A., Fontaine, M., Bando, Y., and Yoshii, K., "RIR-in-a-Box: Estimating Room Acoustics from 3D Mesh Data through Shoebox Approximation", Interspeech 2024, 3255–3259, (2024).
  10. Fujita, Y., Nugraha, A., Di Carlo, D., Bando, Y., Fontaine, M., and Yoshii, K., "Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising", 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1–6, (2024).
  11. Di Carlo, D., Nugraha, A., Fontaine, M., Bando, Y., and Yoshii, K., "Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Direction", 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 740–744, (2024).
  12. Yamagiwa, H., Yokoi, S., and Shimodaira, H., "Improving word mover’s distance by leveraging self-attention matrix", Findings of the Association for Computational Linguistics: EMNLP 2023, 11160–11183, (2023).
  13. Yamagiwa, H., Oyama, M., and Shimodaira, H., "Discovering Universal Geometry in Embeddings with ICA", Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 4647–4675, (2023).
  14. Oyama, M., Yokoi, S., and Shimodaira, H., "Norm of Word Embedding Encodes Information Gain", Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2108–2130, (2023).
  15. Nugraha, A., Di Carlo, D., Bando, Y., Fontaine, M., and Yoshii, K., "Time-Domain Audio Source Separation Based on Gaussian Processes with Deep Kernel Learning", 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 1–5, (2023).
  16. Bando, Y., Masuyama, Y., Nugraha, A., and Yoshii, K., "Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation", 2023 31st European Signal Processing Conference (EUSIPCO), 51–55, (2023).
  17. Sumura, Y., Sekiguchi, K., Bando, Y., Nugraha, A., and Yoshii, K., "Joint Localization and Synchronization of Distributed Camera-Attached Microphone Arrays for Indoor Scene Analysis", 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1–5, (2022).
  18. Sekiguchi, K., Nugraha, A., Du, Y., Bando, Y., Fontaine, M., and Yoshii, K., "Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments", 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 9266–9273, (2022).
  19. Nugraha, A., Sekiguchi, K., Fontaine, M., Bando, Y., and Yoshii, K., "Flow-Based Fast Multichannel Nonnegative Matrix Factorization for Blind Source Separation", ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 501–505, (2022).
  20. Nugraha, A., Sekiguchi, K., Fontaine, M., Bando, Y., and Yoshii, K., "DNN-free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF", 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1–5, (2022).
  21. Fontaine, M., Di Carlo, D., Sekiguchi, K., Nugraha, A., Bando, Y., and Yoshii, K., "Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization", 2022 30th European Signal Processing Conference (EUSIPCO), 26–30, (2022).
  22. Du, Y., Nugraha, A., Sekiguchi, K., Bando, Y., Fontaine, M., and Yoshii, K., "Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments", Interspeech 2022, 2918–2922, (2022).
  23. Sekiguchi, K., Bando, Y., Nugraha, A., Fontaine, M., and Yoshii, K., "Autoregressive Fast Multichannel Nonnegative Matrix Factorization For Joint Blind Source Separation And Dereverberation.", Icassp, 511–515, (2021).
  24. Fontaine, M., Sekiguchi, K., Nugraha, A. A., Bando, Y., and Yoshii, K., "Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation.", Interspeech, 661–665, (2021).