Snorm–A Prototype for Increasing Audio File Stepwise Normalization

摘要

This paper introduces a novel concept SNORM (Step NORMalization) for increasing normalization. It is a prototype algorithm for increasing normalization based on loudness factor of the audio. The function effect normalization plays a vital role in loudness control. The proposed experiment carried out for increasing normalization based on step wise increase yield the variations in peaks of the audio file. The experimental results are shown in the form of graphical analysis of the plot spectrum values of frequency analysis. From the results, it is clearly apparent that, the normalization values are increased at different levels. The function SNORM can set a new benchmark in the field of audio industry for the processes of increasing normalization. SNORM can be substantial in the audio broadcast systems for applications in live audio streaming, news broadcast, sports coverage, live programming where the loudness control mechanism is essential. For the selective or predictive loudness control systems SNORM can be effectively applied.