I did! I tried creating a multi-speaker embedding model for practical concerns: saving on memory costs. I'm going to have to add additional layers, because it didn't fit individual speakers very well. I wish I'd saved audio results to share. I might be able to publish my findings if I look around for the model files.

I think you're right in that if we can get such a model to work, training new embeddings won't require much data.