Ryo Tanabe

Anomalous Sound Detection Based on Interpolation Deep Neural Network

2020

As the labor force decreases, the demand for labor-saving automatic anomalous sound detection technology that conducts maintenance of industrial equipment has grown. Conventional approaches detect anomalies based on the reconstruction errors of an autoencoder. However, …

Flow-Based Self-Supervised Density Estimation for Anomalous Sound Detection

2021

To develop a machine sound monitoring system, a method for detecting anomalous sound is proposed. Exact likelihood estimation using Normalizing Flows is a promising technique for unsupervised anomaly detection, but it can fail at out-of-distribution …