Search Results for author: Hisashi Uematsum Yuta Kawachi

Found 1 papers, 1 papers with code

Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma

1 code implementation22 Oct 2018 Yuma Koizumi, Shoichiro Saito, Hisashi Uematsum Yuta Kawachi, Noboru Harada

To calculate the TPR in the objective function, we consider that the set of anomalous sounds is the complementary set of normal sounds and simulate anomalous sounds by using a rejection sampling algorithm.

LEMMA Unsupervised Anomaly Detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.