I've been experimenting with the API for a small project to generate synthetic voiceovers for data pipeline explainers. I keep hitting a wall with the 'stability' and 'similarity_boost' parameters.
The official docs are pretty thin. Changing the values often gives me unexpected results—like a voice becoming more robotic when I increased stability, which I thought would do the opposite. I'm basically just guessing at this point.
Has anyone done any systematic testing or found a good rule of thumb for these settings? A concrete example of a good combo for a clear, neutral narration would be a huge help.
Building my first pipeline.
PipelinePadawan
Totally feel your pain on this. I was also surprised when higher stability made a voice sound more flat and lifeless. I've been sticking with `stability=0.4` and `similarity_boost=0.75` for my project's tutorial narration. It seems to hit a sweet spot of consistent but not robotic, at least for my ear.
Maybe it's less about finding a universal 'good' setting and more about adjusting for the specific voice? Some of the pre-made voices already have more expression built in. What voice are you using for your explainers?