-
公开(公告)号:US11467570B2
公开(公告)日:2022-10-11
申请号:US16643916
申请日:2018-08-24
发明人: Yuma Koizumi , Yuta Kawachi , Noboru Harada , Shoichiro Saito , Akira Nakagawa , Shin Murata
摘要: Accuracy of unsupervised anomalous sound detection is improved using a small number of pieces of anomalous sound data. A threshold deciding part (13) calculates an anomaly score for each of a plurality of pieces of anomalous sound data, using a normal model learned with normal sound data and an anomaly model expressing the pieces of anomalous sound data, and decides a minimum value among the anomaly scores as a threshold. A weight updating part (14) updates, using a plurality of pieces of normal sound data, the pieces of anomalous sound data and the threshold, weights of the anomaly model so that all the pieces of anomalous sound data are judged as anomalous, and probability of the pieces of normal sound data being judged as anomalous is minimized.
-
公开(公告)号:US11252506B2
公开(公告)日:2022-02-15
申请号:US16969273
申请日:2019-02-14
摘要: A howling suppression apparatus includes: an integration processing part that obtains the maximum value among L values corresponding to n-th frames of L i-th signals, for i=1, 2, . . . , L, L being any integer equal to or greater than 2, the L i-th signals being frequency-domain signals obtained from sound signals collected by multiple microphones; and a howling suppression processing part that performs howling suppression processing on at least any of the L i-th signals using the maximum value.
-