During the last decade, the problem of noise pollution has continued to increase in Europe as well as in under-developed countries. This issue is stressed in city centers, owing to the abundance of residential activities, vehicle traffic and multiple services. This study investigates the relationship between urban spatial configuration and environment soundscape in two different areas: Pisa historic center, Italy and Biskra downtown, Algeria, using the potential of Space Syntax theory in predicting noise levels distribution. For this analysis, thirty stations of measurements were held in each area during day time using a Sound Level Meter. A Noise map was modeled using the interpolation tool provided by a Geographic Information System program, while the collected data were correlated with the Angular Segment Analysis variables. The findings reveal a close relationship between the sound levels obtained and Space Syntax theory global and local indexes such as Normalized Choice and Integration, which signifies the ability of the approach in describing the sound phenomenon in different urban contexts.