METHODS FOR DEVELOPING SOFTWARE FOR PSYCHOACOUSTIC PROFILING AND SYSTEMATIZATION OF SOUND ENVIRONMENTS BASED ON OPEN AUDIO DATASETS

Authors

Akylbek uulu Jusup Kyrgyz-German Institute of Applied Informatics
S. V. Koryakin Kyrgyz-German Institute of Applied Informatics

Keywords:

psychoacoustics, sound environment, audio dataset, profiling, loudness, sharpness, software

Abstract

The article discusses approaches to developing software for automated psychoacoustic analysis and profiling of sound environments. It substantiates the need to move from physical characteristics of sound to perceptual parameters such as loudness, sharpness, roughness, and fluctuation strength. A method for systematizing sound data based on open audio datasets is proposed to form psychoacoustic profiles depending on the type of sound environment. The Python-based implementation enables visualization of auditory perception patterns under different acoustic conditions.

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