AI noise recognition system
Industry, Cities, Airports
Many different sources of noise are often found outdoors and indoors. Resultant noise from multiple sources is often time-varying (both in terms of noise level and spectrum). An example of the noise level waveform is shown in Figure 1.
In practice, it is very often necessary to identify the acoustic events that make up the total noise in a given area. The event identification consists in linking individual acoustic events (occurring in specific time periods) with the specified classes (Figure 2). Performing such a classification manually can be very time consuming and prone to human error.