2019
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection
ICASSP 2019accepted
In this paper, we adapt Recurrent Neural Networks with Stochastic Layers, which are the state-of-the-art for generating text, music and speech, to the problem of acoustic novelty detection. By integrating uncertainty into the hidden states, this type of network is able to learn the distribution of c…