SPS Webinar, 20 December 2021: Infinite-Dimensional Expansion for Sound Field Estimation with Application to Spatial Audio

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News and Resources for Members of the IEEE Signal Processing Society

SPS Webinar, 20 December 2021: Infinite-Dimensional Expansion for Sound Field Estimation with Application to Spatial Audio

IEEE SPS Webinar

Title: Infinite-Dimensional Expansion for Sound Field Estimation with Application to Spatial Audio
Date: 20 December 2021
Time: 08:00 AM ET (New York time)
Duration: Approximately 1 Hour
Presenters: Dr. Natsuki Ueno and Dr. Shoichi Koyama

Based on the IEEE Xplore® article: Sound Field Recording Using Distributed Microphones Based on Harmonic Analysis of Infinite Order
Published: IEEE Signal Processing Letters, November 2017
Download: Original article is open access and freely available for download on IEEE Xplore®


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Sound field estimation using a microphone array is a fundamental problem in acoustic signal processing, which has a wide variety of applications, such as visualization/auralization of an acoustic field, spatial audio reproduction using a loudspeaker array or headphones, and active noise cancellation in a spatial region. We recently proposed a sound field estimation method based on infinite-dimensional basis expansion of sound fields. This method can also be regarded as the kernel method for interpolation of sound fields with a constraint of the Helmholts equation under particular conditions. This new framework on the sound field estimation has many advantages over other well-established methods based on finite-dimensional basis expansion of sound fields.

This webinar will describe our studies on sound field estimation and its applications to spatial audio. We will start with background and preliminaries on sound field estimation. Then, we will introduce our proposed method based on infinite-dimensional wavefunction expansion of sound fields. Finally, we will discuss several applications on spatial audio, e.g., binaural rendering and sound field reproduction. Open source codes of the proposed method with impulse response dataset will also be introduced.

Presenter's Bio:

Natsuki Ueno

Dr. Natsuki Ueno received the B.E. degree in engineering from Kyoto University, Kyoto, Japan, in 2016, and the M.S. and Ph.D. degrees in information science and technology from the University of Tokyo, Tokyo, Japan, in 2018 and 2021, respectively.

He is currently a Project Assistant Professor at Tokyo Metropolitan University, Tokyo, Japan.

Dr. Ueno's research interests include spatial audio and acoustic signal processing.



Shoichi Koyama

Dr. Shoichi Koyama received the B.E., M.S., and Ph.D. degrees from the University of Tokyo, Tokyo, Japan, in 2007, 2009, and 2014, respectively.

In 2009, he joined Nippon Telegraph and Telephone (NTT) Corporation, Tokyo, Japan, as a Researcher in acoustic signal processing. In 2014, he moved to the University of Tokyo and has been a Lecturer since 2018. From 2016 to 2018, he was also a Visiting Researcher with Paris Diderot University (Paris 7), Institut Langevin, Paris, France.

Dr. Koyama's research interests include audio signal processing, acoustic inverse problems, and spatial audio. He was the recipient of Itakura Prize Innovation Young Researcher Award by the Acoustical Society of Japan in 2015, and the Research Award by Funai Foundation for Information Technology in 2018.


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