5 papers
Wave Tank Experiment for Sea State Monitoring with Distributed Acoustic Sensing
Yoshiyuki Yajima, Sakiko Mishima, Noriyuki Tonami +4
Monitoring sea states across the offshore wind farm areas is essential to keep their structures safe, efficiently operate the systems, and assess the environmental effects of wind…
Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing
Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami +4
This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic Sensing (DAS), which is one of…
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…
Trainingless Adaptation of Pretrained Models for Environmental Sound Classification
Noriyuki Tonami, Wataru Kohno, Keisuke Imoto +4
Deep neural network (DNN)-based models for environmental sound classification are not robust against a domain to which training data do not belong, that is, out-of-distribution or…
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…