← Search

Yoshiyuki Yajima

2 accepted papers

2026

Event classification by physics-informed inpainting for distributed multichannel acoustic sensor with partially degraded channels

ICASSP 2026poster

Distributed multichannel acoustic sensing (DMAS) enables large-scale sound event classification (SEC), but performance drops when many channels are degraded and when sensor layouts at test time differ from training layouts. We propose a learning-free, physics-informed inpainting frontend based on re…

Cited by 0SourcePDFScholar
2025

Trainingless Adaptation of Pretrained Models for Environmental Sound Classification

ICASSP 2025accepted

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 unseen data. To utilize pretrained models for the unseen domain, adaptation methods, such as finetuning and transfer lea…

Cited by 0SourceScholar