I think there are a couple factors here. This is an incredibly difficult problem space. The solutions going forward involve ML techniques, which require ML experts (currently being hired away by industry) and the resources to create models, which includes not only a large amount of computational resources but a big chunk of training data which needs to be sourced somehow.

I’m not really an expert. From what I understand, the “cutting-edge” stuff requires pushing past the point where we are splicing segments of speech together. Splicing segments together is hard enough.

There are a couple open-source efforts like Mozilla’s, but if you want something like Lyrebird, well, that technology isn’t even really productized commercially yet.