Masaaki Yamamoto

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 …