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Compression currently works on a single sample, essentially sample = Math.pow(sample, compression). It would be useful to have a compressor that amplifies quiet parts of the sound, based on the RMS of a short sliding window, or (easier) the RMS of all samples so far, exponentially weighted to favour recent ones. The current compressor would be a special case for falloff = 0.
The text was updated successfully, but these errors were encountered:
Compression currently works on a single sample, essentially
sample = Math.pow(sample, compression)
. It would be useful to have a compressor that amplifies quiet parts of the sound, based on the RMS of a short sliding window, or (easier) the RMS of all samples so far, exponentially weighted to favour recent ones. The current compressor would be a special case forfalloff = 0
.The text was updated successfully, but these errors were encountered: