Shoichi Koyama

最近ジャーナル名が変わったIEEE TASLPRO，以前の名称（IEEE/ACM Trans...)からACMが取れただけかと思いきや，実はOxford comma（Speech, and Languageのコンマ）も取れていることに今さら気がつきました・・・

The following paper I co-authored has been recently published in IEEE TASLPRO. Congrats Jesper🎊 doi.org/10.1109/TASLPR…

📌Event Talk on "Exploring Learning Frameworks for Active Noise Control Systems" by Prof. Hamid Reza Karimi (Polimi, Italy) nii.ac.jp/en/event/2026/… Time/Date: 10:30-11:30 February 18 (Wednesday), 2026 Place: Room 1512, NII

Karl Schrader, Shoichi Koyama, Tomohiko Nakamura, Mirco Pezzoli, "Phase-Retrieval-Based Physics-Informed Neural Networks For Acoustic Magnitude Field Reconstruction," arxiv.org/abs/2601.19297

Three papers have been accepted to #ICASSP2026 🥳 - Phase-retrieval-based PINN by Karl - Differentiable FDN by Riccardo - Source placement based on Ising model by Kozuka-san Congrats to all the colleagues 👏

電子情報通信学会 @ieice_EIC 知識の森というページに「音場再生・制御」の内容で記事を書きました 🌳 ieice-hbkb.org/portal/2026/01…

昨日、人工知能学会AIチャレンジ研究会にて「空間音響処理における物理法則に基づく機械学習」という内容で招待講演をさせていただきました💡 初参加の研究会でしたが、久しぶりの方にもたくさんお会いできました！スライドはこちら👇 speakerdeck.com/skoyamalab/kon…

３次元領域を静音化する空間アクティブ騒音制御システムの実装に関する発表が来週のASA/ASJ JMであります🏝️ デモ動画はこちら👇

A new paper “Spatial Active Noise Control Based on Kernel Interpolation With Individual Directional Weighting” has been published in APSIPA Trans. SIP 🎉 dx.doi.org/10.1561/116.20…

We are looking for reviewers for @ieeeICASSP 2026 for AASP areas. We received quite a bit more papers this cycle. If you don't currently review for ICASSP please consider doing so. Fill out the form below docs.google.com/forms/d/e/1FAI…

👏👏👏 tinyurl.com/259vdbkp

Jesper Brunnstr\"om, Martin Bo M{\o}ller, Jan {\O}stergaard, Shoichi Koyama, Toon van Waterschoot, Marc Moonen, "Sound field estimation with moving microphones using kernel ridge regression," arxiv.org/abs/2509.16358

🦑に投稿してから気付いたけど、子供の誕生日と被っている😇

Jesper Brunnstr\"om, Martin Bo M{\o}ller, Jan {\O}stergaard, Shoichi Koyama, Toon van Waterschoot, Marc Moonen, "Time-domain sound field estimation using kernel ridge regression," arxiv.org/abs/2509.05720

Diego Di Carlo (RIKEN AIP), Koyama Shoichi (UTokyo), et al., "Gaussian Process Regression of Steering Vectors With Physics-Aware Deep Composite Kernels for Augmented Listening,", arxiv.org/abs/2509.02571

📖Internship Information 2nd call of 2025 "NII International Internship Program" Guideline for Candidates nii.ac.jp/en/about/inter…

Prof. Koyama (remotely) gave a keynote talk about Neural Spatial Audio Processing at Audio Analysis Workshop 2025 held in Aalborg, Denmark. Slides are available here: speakerdeck.com/skoyamalab/neu…

Ryan Niu, Shoichi Koyama, Tomohiko Nakamura, "Head-Related Transfer Function Individualization Using Anthropometric Features and Spatially Independent Latent Representation," arxiv.org/abs/2508.16176

Our paper titled "Spatial Upsampling of Head-Related Transfer Function Using Neural Network Conditioned on Source Position and Frequency" has been ACCEPTED for publication in IEEE Open Journal of Signal Processing. Congratulations, Ito-san!

3 papers have been accepted to WASPAA 2025 ⛰️ Congrats to all the colleagues 🎉 👂 HRTF individualization from anthropometric features 🔊 Source and sensor placement for sound field control 🎙️ Deep prior NN for sound field reconstruction