Recent content by fan_kai

There are several ways to approach AI Audio Editing, so I wanted to compare experiences. I am particularly interested in quality versus speed and data quality. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for...

The point about step and future is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.

A useful way to understand Local Image Generation is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is setup choices. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...