It is achieved by raising the overall level of the audio such that the highest peak in the waveform is brought to the maximum peak level (0 dBFS). The first method, commonly known as peak normalization, is not a complex process but rather a linear one. That all being said, normalization is done in one of two ways: Further, doing loudness normalization to dialogues and podcasts can enhance their perceived quality considerably. It has applications in music, television, broadcasting, podcasting and more. When used wisely, it can be a great ally in audio editing, mixing, and making audio more consistent. Today, normalization is often regarded negatively in the audio world, losing ground against other, less invasive techniques. Normalization became common practice when digital audio workstations began dominating the recording industry in the 1990s. However, as a process, it is distinctly done to digital audio, which has easy-to-read information (by digital systems) and clearly defined limits. Normalization, as an idea, can be applied to analog audio. Proper normalizing does not affect the dynamic range of the audio it simply adds or subtracts gain from the audio to make it louder or quieter, respectively. Normalization is the process of adding or subtracting a certain amount of gain or amplification to bring an audio recording to a target level, otherwise known as the “norm”. We'll consider the pros and cons as well as the typical and effective applications of this process.
In this article, we'll discuss audio normalization and the two types of normalization. Normalizing audio should be avoided on the master track or during the pre-master or master bounce down to avoid intersample peaking. Should you normalize audio? Normalizing audio is effective for creating consistent levels between samples, vocal takes, and other audio files before/during mixing and even for mastering to bring a group of final music, podcast, or television mixes up to a consistent level. Is normalization always necessary, never necessary, or only applicable to certain situations? Let's find out. Normalizing audio is a fairly simple concept, but its applications are not always fully understood.
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