Patent Document ID: 20120185418
Application ID: 13266101
Patent Flag: 0

Claim One:
1. A method for detecting abnormal audio events in a given environment, the method comprising: an automated step for learning the modeling of said environment during which a database is created by the extraction of acoustic parameters associated with audio streams picked up over a fixed time period and an unsupervised automatic segmentation of said streams, followed by grouping the segments into classes and a statistical modeling of the segment classes; and a usage phase which comprises analysis of an audio stream, with the extraction of the acoustic parameters, automatic segmentation of said analysed stream identical to that used during the learning phase and determining a likelihood of each statistical model contained in the database for each of the segments of the analysed audio stream, resulting in a likelihood value λ which corresponds to the most probable model, the maximum of the likelihoods, which is compared to a threshold value in order to initiate or not a signal indicating the presence or absence of audio anomalies in the analysed audio stream.