With the introduction of increasingly stringent noise regulations, there is an increase in the usage of noise control and reduction techniques. Master thesis focuses on sound acquisition and data analysis using our own graphical user interface programmed within Python environment. Sound acqusition took place in an anechoic chamber, where external factors have no influence over the captured data. Measurements are carried out in anechoic chambers placed in LADISK laboratory at Faculty of Mechanical Engineering and compared to the reference measurements performed in Gorenje. At the begining, we first introduce theoretical basics of sound, which play an important role in sound aquisition. Theory is then followed by description of measurement chain system and introduction of the quiet room placed in. The focal point then moves to the comparison of the sound power level determination and measurement uncertainity between standards ISO 3746, ISO 3744 and ISO 3745. Afterwards, we introduce user interface for sound acquisition, which is based on ISO 3746. In conclusion, we analyse the validity of results and point out potential improvements of the software, which could offer even better user experience as well as reduce deviation factors between measurements in data acquisition.
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