1 citations · 1 across the 6 of their papers we have counts for
6 papers
Event Classification by Physics-informed Inpainting for Distributed Multichannel Acoustic Sensor with Partially Degraded Channels
Noriyuki Tonami, Wataru Kohno, Yoshiyuki Yajima +4
Distributed multichannel acoustic sensing (DMAS) enables large-scale sound event classification (SEC), but performance drops when many channels are degraded and when sensor layouts…
Reformulation of -Middle Convolution and Applications
Yumi Arai, Kouichi Takemura
We reformulate the -convolution and the -middle convolution introduced by Sakai and Yamaguchi, and we introduce -analogues of the addition which is related to the gauge-tr…
Solutions to variant of -hypergeometric equation of degree 2 associated with -middle convolution
Yumi Arai
We investigate the integral representations of solutions to the variant of -hypergeometric equation of degree 2 obtained through -middle convolution by using transformation f…
Low-rank constrained multichannel signal denoising considering channel-dependent sensitivity inspired by self-supervised learning for optical fiber sensing
Noriyuki Tonami, Wataru Kohno, Sakiko Mishima +3
Optical fiber sensing is a technology wherein audio, vibrations, and temperature are detected using an optical fiber; especially the audio/vibrations-aware sensing is called distri…
On -Middle Convolution and -Hypergeometric Equations
Yumi Arai, Kouichi Takemura
The -middle convolution was introduced by Sakai and Yamaguchi. In this paper, we reformulate -integral transformations associated with the -middle convolution. In particul…
Impact of Sound Duration and Inactive Frames on Sound Event Detection Performance
Keisuke Imoto, Sakiko Mishima, Yumi Arai +1
In many methods of sound event detection (SED), a segmented time frame is regarded as one data sample to model training. The durations of sound events greatly depend on the sound e…