Some of these are based on conventional algorithms, but an increased number are now infused with AI technology, making them capable of some startling feats. As a form of noise reduction, this is far more flexible than is conventional, and produces far fewer artefacts.įor example, a few different tools make use of the ability to recognise the human voice, either to extract a vocal from mixed music, or to isolate a spoken voice from unwanted background noise. There are other new, improved AI-infused tools too. There’s an Ambience Matching process that helps to make different recordings sound like they exist in the same acoustic space, as well as an EQ Matching tool which is a huge time-saver when matching the tonality of different takes and recordings. The fabulously useful De-Bleed process is ideal for isolating multi-miked drums or individual instrument mics, and the existing Reverb Reduction tool has had an AI overhaul to make it much more effective at identifying and controlling room resonances and other unwanted ambience. You can even break down an entire mixed recording into its constituent stems.
The only issue here is that the processor setup windows can be awkward to use. For starters, the purpose and/or effect of the parameters isn’t always clear, and the product manual often doesn’t help.
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