Will artificial intelligence displace humans from mastering?

Matching 2.0 performs reference mastering. Accordingly, in addition to the track for processing, you need to provide a reference track. Benn Jordan used the same composition Give Life Back to Music by Daft Punk for these purposes, but warned that choosing a reference also takes a lot of time.

Matching 2.0 interface is a browser application. Matching 2.0 is distributed as a Docker container, a Python library, or a component inside ComfyUI. Tech-savvy Jordan had no problem getting the app up and running.

As Benn mentions, many automated mastering services are based on Matching, but this is not mentioned at all. He urged musicians not to rely on numerous wrapper services for Matchering 2.0, but to independently experiment with the tool inside ComfyUI.

Finally, two professional mastering engineers participated in the test. According to the survey results, no AI has been able to surpass them.

The mysterious Edward, who goes by the name Edthesoundman, usually spends several weeks working on a track. Jordan explains second place of a master from this engineer with a pressing deadline for the release of the video. Breakaway first The rating line was made up of only a few votes, and Max Hosinger took it. Max has many clients including bands Bastille, The 1975 and Years & Years – the perfect mix of experience to cover all Starlight song genre combinations.

Jordan boasts that generous advertisers have recently offered him positive feedback on certain AI music creation tools. According to the blogger, subscription services will soon appear on the market, into which you just need to enter a text query – a large language model will process the prompt and independently set the necessary parameters for mastering.

Benn compares this kind of work flow to assembling a child’s construction set with boxing gloves. His message is simple: even amateurs are better off taking a chance and trying mastering manually or semi-independently, rather than relying on something with full automation.

As you might guess from the title of his video, Benn calls AI mastering a waste of money. It's hard to argue with vox populiwhen 472 people participate in double-blind testing.