2025

1. IEEE OJSP

   Spatial Upsampling of Head-Related Transfer Function Using Neural Network Conditioned on Source Position and Frequency

   Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Shuichi Sakamoto, and Hiroshi Saruwatari

   IEEE Open Journal of Signal Processing, 2025

   Bib HTML PDF Code

   @article{Ito:IEEE_OJSP2025,
     author = {Ito, Yuki and Nakamura, Tomohiko and Koyama, Shoichi and Sakamoto, Shuichi and Saruwatari, Hiroshi},
     title = {Spatial Upsampling of Head-Related Transfer Function Using Neural Network Conditioned on Source Position and Frequency},
     journal = {{IEEE} Open Journal of Signal Processing},
     year = {2025},
     volume = {6},
     pages = {1109-1123},
     doi = {10.1109/OJSP.2025.3613132},
   }

2. 

   Sound Field Estimation: Theories and Applications (Foundations and Trends® in Signal Processing)

   Natsuki Ueno, and Shoichi Koyama

   2025

   arXiv Bib HTML

   @book{Ueno:FnT_SP2025,
     author = {Ueno, Natsuki and Koyama, Shoichi},
     title = {Sound Field Estimation: Theories and Applications (Foundations and Trends® in Signal Processing)},
     volume = {19},
     number = {1},
     pages = {1-98},
     year = {2025},
     publisher = {Now Publishers},
     doi = {10.1561/2000000121},
     isbn = {1638285241},
   }

3. 

   Physics-Informed Machine Learning For Sound Field Estimation: Fundamentals, state of the art, and challenges

   Shoichi Koyama, Juliano G. C. Ribeiro, Tomohiko Nakamura, Natsuki Ueno, and Mirco Pezzoli

   IEEE Signal Processing Magazine, 2025

   arXiv Bib HTML Code

   @article{Koyama:IEEE_M_SP2025,
     author = {Koyama, Shoichi and Ribeiro, Juliano G. C. and Nakamura, Tomohiko and Ueno, Natsuki and Pezzoli, Mirco},
     title = {Physics-Informed Machine Learning For Sound Field Estimation: Fundamentals, state of the art, and challenges},
     journal = {{IEEE} Signal Processing Magazine},
     volume = {41},
     number = {6},
     pages = {60-71},
     year = {2025},
     doi = {10.1109/MSP.2024.3465896},
   }

4. EUSIPCO

   Physics-Informed Machine Learning For Audio Processing

   Mirco Pezzoli, Diego Di Carlo, and Shoichi Koyama

   In European Signal Processing Conference (EUSIPCO), Tutorial, Sep 2025

   HTML Code Slides

2024

1. IEEE/ACM TASLP

   Sound Field Estimation Based on Physics-Constrained Kernel Interpolation Adapted to Environment

   Juliano G. C. Ribeiro, Shoichi Koyama, Ryosuke Horiuchi, and Hiroshi Saruwatari

   IEEE/ACM Transactions on Audio, Speech, and Language Processing, Sep 2024

   Bib HTML PDF Code

   @article{Ribeiro:IEEE_ACM_J_ASLP2024,
     author = {Ribeiro, Juliano G. C. and Koyama, Shoichi and Horiuchi, Ryosuke and Saruwatari, Hiroshi},
     title = {Sound Field Estimation Based on Physics-Constrained Kernel Interpolation Adapted to Environment},
     journal = {{IEEE/ACM} Transactions on Audio, Speech, and Language Processing},
     volume = {32},
     pages = {4369-4383},
     year = {2024},
     doi = {10.1109/TASLP.2024.3467951},
   }