The Journal of the Acoustical Society of Korea (한국음향학회지)

The Acoustical Society of Korea (한국음향학회)
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Absolute sound level algorithm for contents platform

콘텐츠 플랫폼 적용을 위한 절대음량 알고리즘

  • Received : 2020.03.06
  • Accepted : 2020.04.17
  • Published : 2020.09.30
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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.

본 논문은 콘텐츠 플랫폼에서 절대음량을 산출하는 알고리즘을 서술한다. 절대음량은 개별 음원을 대표하는 하나의 음량이며, 실용적인 범위 내에서, 음원파일 자체의 디지털 영역과 스피커로 출력되는 물리 영역의 음량단위를 통합하여 활용할 수 있도록 설계한 개념이다. 이 개념이 콘텐츠 플랫폼 등에서 실제로 활용되기 위해서는 마스터링 엔지니어의 청음을 거치지 않아도, 자동으로 절대음량 수치를 도출할 수 있어야 한다. 사람이 개별 단일 음원의 대표 음량을 인지하는 핵심 파라미터는 "주파수, 최대에너지, 에너지 변동 계수, 인지가중 에너지 분포도" 영역이며, 가중치 정규화를 통하여 절대음량 수치를 산출하였다.

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References

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