Abstract : A method and system for detecting abnormal events in a given environment comprises a model construction step comprising: a) a step of unsupervised initialization of Q groups; b) a step of definition of a model of normality consisting of 1-class SVM classifiers; c) a step of optimum distribution of the audio signals in the Q different groups; d) repetition of the steps b and c until a stop criterion C1, is checked and a model M is obtained; and a step of use of the model(s) M obtained from the construction step comprising the analysis of an unknown audio signal ST assigning a score to a 1-class SVM classifier, and a comparison of all the scores fq obtained using decision rules in order to determine the presence or absence of an anomaly in the audio signal analyzed.
https://hal-utt.archives-ouvertes.fr/hal-02861441
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Tuesday, June 9, 2020 - 7:35:48 AM Last modification on : Wednesday, June 10, 2020 - 5:35:08 AM
Sébastien Lecomte, Francois Capman, Bertrand Ravera, Régis Lengellé, Cédric Richard. Method and system for detecting sound events in a given environment. France, Patent n° : US2014046878. 2014. ⟨hal-02861441⟩