Abstract: 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 ...

Abstract: In this paper we present a new implementation of a Variational Autoencoder (VAE) for the calibration of sensors. We propose that the VAE can be used to calibrate sensor data by training the ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

Following @Giulero suggestion, I will try to implement a Conditional Variational AutoEncoder to directly connect the input of the aerodynamic dataset (attitude and joint configurations) to the output ...

TWINSBURG, Ohio, Nov. 8, 2023 /PRNewswire/ -- Sub Rosa Ventures (SRV), Cleveland Electric Labs (CEL), and Idaho National Laboratories (INL) have reached an agreement providing SRV exclusive licensing ...