Solving in Matlab the matter is called digital signal processing

Nowadays, thanks to labor laws on inclusion, it is common to find people with special abilities working in many areas where they were not previously accepted. For example, there are people with hearing disabilities who work in metalworking industries. In this type of industry, there are numerous audible alarm signals that are used to alert workers to an event that they need to pay attention to$.$ One of these alarm signals is used when a vehicle, such as a forklift, reverses. This signal is known as a $$backup beeper,$$ and an example of this type of signal is found in the $$backup beeper.wav$$ file. In this work environment, the sound of this alarm is mixed with the noises generated by industry activities, and workers must identify this alarm and take corresponding safety measures. However, a person with a hearing disability cannot do it because they do not hear this signal, so an electronic device is required to assist them. In this project, we are going to create a program in MATLAB that simulates the operation of this device. The program must process a signal that contains the sound of the backup beeper alarm along with the environmental noise $($ sinhal$5\_$teste.wav$).$ This program must detect the positions where the backup beeper alarm sound is located, determine the start and end points, and count the number of times the alarm sounded. To carry out this task, a multilayer neural network must be used that allows detecting the signal segments with the signal of interest.

Take into account that it must be based on the theory of neural networks as well as spectral analysis and, if necessary, the change in the sampling rate.

Take into account that the beep sound is not the highest or lowest frequency but is mixed with the noise.

Help yourself with graphics.

senal: Sennal$1\_$r$.$ Wav

Ini $(1)=12\mathrm{.}3se{g}^{-}$Fin$(1)=15\mathrm{.}8$seg

Numero de eventos $=4$