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Root mean square normalization in Python — Ayoub Malek's blog
https://superkogito.github.io/blog/rmsnormalization.html#:~:text=Audio%20normalization%20is%20a%20fundamental%20audio%20processing%20technique,technique%20is%20the%20Root%20Mean%20Square%20%28RMS%29%20normalization.
RMS Normalization - Hack Audio
https://www.hackaudio.com/digital-signal-processing/amplitude/rms-normalization/
When performing RMS normalization, it is possible to scale the amplitude of a signal such that the peak magnitude is greater than 1. This will cause the signal to be clipped, or distorted. This can occur even if the RMS …
Normalisation - Peak and RMS - Samplecraze
https://samplecraze.com/2019/01/03/normalisation-peak-and-rms/
If you need to normalize then think carefully about whether you will use Peak or RMS (average level). RMS (Root Mean Square) is an averaging …
How to normalize audio? Why do it? Everything you need to know
https://higherhz.com/audio-normalization/
In digital audio you can’t get any louder than the highest peak at 0 dBFS, so normalizing to this value will create the loudest file you can. RMS volume detection This considers the “overall” loudness of a file. There may be large peaks, but also softer sections. It takes an average and calls that the volume.
Normalizing audio waveforms code implementation (Peak, RMS)
https://dsp.stackexchange.com/questions/43907/normalizing-audio-waveforms-code-implementation-peak-rms
x t r a n s f o r m e d ( n) = c × l o g ( 1 + x ( n)) Where c is a normalisation parameter. Due to its shape the l o g ( ⋅) function will boost small amplitude values and limit high amplitude values. To get a feel about how the waveform might look like, you might want to have a quick look at the way Audacity does its 'dB View' of waveforms.
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