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http://dx.doi.org/10.7776/ASK.2020.39.5.424

Absolute sound level algorithm for contents platform  

Gyeon, Du-Heon (KEISER)
Publication Information
The Journal of the Acoustical Society of Korea / v.39, no.5, 2020 , pp. 424-434 More about this Journal
Abstract
This paper describes an algorithm that calculates Absolute Sound Level (ASL) for contents platform. ASL is a single volume representing individual sound sources and is a concept designed to integrate and utilize the sound level units in digital sound source and physical domain from a speaker in practical areas. For this concept to be used in content platforms and others, it is necessary to automatically derive the ASL without having to go through a hearing of mastering engineers. The key parameters of which a person recognizes the representative sound level of an individual single sound source are the areas of "frequency, maximum energy, energy variation coefficient, and perceived energy distribution," and the ASL was calculated through the normalizing of the weights.
Keywords
Absolute Sound Level (ASL); dB(S); decibel Full scale (dBFS); Perceived loudness; Contents platform;
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Times Cited By KSCI : 1  (Citation Analysis)
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