About Does It Sound?
Who is behind this site, how its articles are made, and how to reach it.
What this site is
What AI audio tools do to a recording: mastering, stem splitting, noise removal and voice cleanup, explained, then tested.
It sets out to explain what AI audio tools change in a recording and, as tests are run, publish what each did to the sound with the files to hear it.
It is written for musicians, podcasters and video makers choosing an AI audio tool before they pay for one.
What it covers
Blind listening tests of AI audio tools; stem splitters compared on the same songs; AI mastering against a human master; noise and voice cleanup, measured; what the tool pages do not tell you.
How the articles are made
Articles are researched and drafted with AI, checked against their sources, and reviewed before they are published.
Each one ends with "How this was made": the sources it used, the model that drafted it and what it cost. Nothing about how a page was made is hidden.
So far: 1 article · all 1 drafted with AI.
Who signs them
Articles are signed with a pen name for this site's editorial team, so the site keeps one voice. The note under each article says when a name is a pen name.
A pen name is not a person with credentials, and no article claims experience nobody had.
Mistakes and corrections
If something is wrong or out of date, write through the contact page. It is checked, and the article is corrected.
Every correction made after an article was published is noted under the article and listed, with its date, on one page:
How the site is paid for
Some articles may contain affiliate links: if you buy through one, the site may earn a commission, at no extra cost to you. Recommendations are not for sale.