ACE : the signature of a class of sounds
The core of ORELIA's technological solution is the concept of Audio Content Extractor (ACE). An ACE is a classification model that can identifies the contents of a sound from his sound signature.
An ACE is based on a statistical modeling of characteristic parameters of the spectral envelope signals of the same semantic class.
This approach brings several benefits :
► The recognition of a sound event does not require the storage of the learning database because all information is contained in the sound signature.
► The ACEs obtained are generic: sensitivity is similar to the human ear especially in terms of reverberation and distance from the source