At the point where it stops being a P(w|h) estimator.

Before why, ask if. GBDTs are very widely used.

The problem is that what defines what a "buzzword" is is its attention-grabbing, catchy misuse. The shelter has unfortunately been breached for a while now.

Aside from "We've just published X" threads (which are usually comprised of healthy praises, questions and critiques), I loathe most ML twitter discussions. They tend to have all the usual "hot take" issues from the platform, even from prominent names in the field. Not really a great place to discuss ML as a whole.

Except DALL-E 2 also applies diffusion in latent space and Imagen performs diffusion in low-res pixel space. My initial hunch was the upscaling diffusion models, but they account for a relatively small portion of the total number of parameters and are more relevant speed-wise. The lackluster explanation is simply "SD does latent better", since you'd need to do an extensive ablation study to compare rather different architectures.

What kind of model would work in this case is heavily dependent on data availability and the quality of your annotation. Check these datasets from Papers With Code and see whether any one of those is similar enough to your setting, and pick models or code from their leaderboards.

CTC is better suited for unaligned sequences, if OP has precise timings for the sound events, plain frame-wise classification should work better.

Lhotse is basically part of the "Kaldi 2.0 ecosystem" (K2/Lhotse/Icefall/Sherpa), you'll probably see people referring to the whole lot as Kaldi as well.

I'm guessing this is unintentional, but you talk like XetHub has been a thing for a while. I even went to see what had I missed, and for what I gathered it's a startup that just emerged from it's stealth status like, five days ago (from its twitter status it's more like three weeks, but still). They'll probably opensource the core tech as a freemium like almost everything else in the current convoluted MLOps landscape.

And even then, it's still a money sink. Which reinforces the improbability of Cortana being a main focus.