2025/11/26 by Lin, Bill S, Fisher, Wesley
#Audio #Loudness #Signal Processing
paper · doi:10.14288/cjur.v2i1.188712
In processing audio, it can be helpful to have algorithms that can extract volume and loudness information. One application of this would be finding speech in long intervals of silence. Digital audio files, which contain raw information, may not represent how a human can perceive the sound. For example, high and low frequencies of sound with equal intensities will be perceived as having different levels of loudness. This paper presents a series of processing operations to be performed on sound signals, which attempt to find the loudness of sounds as perceived by a human. The first operation accounts for the human perception of loudness at different frequencies. The second creates an envelope of the sound signal, while preserving impulses. The third operation accounts for the human perception of impulse loudness. The output of this process is an envelope of the original sound signal, which represents how a human would perceive the audio volume.