Fabio Vesperini

A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks

Acoustic novelty detection aims at identifying abnormal/novel acoustic signals which differ from the reference/normal data that the system was trained with. In this paper we present a novel unsupervised approach based on a denoising autoencoder. In our approach auditory spectral features are process…