The acoustical properties of seven commonly encountered background noises for digital signal processing applications

We can say that the most common noise sources through the United States are highway/cars, railroad/train, and airport/planes.These common noises and the others behave like a background noise for digital signal processing applications.The problem of reducing or removing noise in signals is very important.The problem has been addressed in many different ways over the years.Background environmental noises degrade the performance of speech-processing systems such as speech coding, speech recognition, and hearing aids.By modifying the processing according to the type of background noise, the performance can be enhanced.This requires classifying different noises.In this paper, we studied seven commonly encountered background noises: subway, highway, inside train, inside car, rain, restaurant, and airport.The acoustical properties, Auto Correlation Function (ACF), energy, and delay are calculated.Our experimental results show significant differences between some types of noises. 1.Introduction