Harsh Purohit

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 …

Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection

2022 · arXiv (Cornell University)

This paper aims to develop an acoustic signal-based unsupervised anomaly detection method for automatic machine monitoring. Existing approaches such as deep autoencoder (DAE), variational autoencoder (VAE), conditional variational autoencoder (CVAE) etc. have limited representation capabilities …