[ks2048]

Every couple of weeks I see a new TTS model showcased here and it’s always difficult to see how they differ from one another. Why don’t they describe the architecture and details of the trailing data?

My cynical side thinks people just take the state-of-the-art open source model, use an LLM to alter the source, minimal fine tuning to change the weights and they are able to claim “we built our own state of the art tts”.

I know it’s open source, so I can dig into the details myself, but are they any good high-level overviews of modern TTS, comparing/contrasting the top models?

[popalchemist]

The special sauce here is that it is built on a very small LLM (Qwen) which means this can run on CPU-only, or even on micro devices like Raspberry Pi or a mobile phone.

Architecturally it's similar to other LLM-based TTS models (like OuteTTS) but the underlying LLM makes them able to release it under an Apache 2 license.

[DecoPerson]

Without the resources to do a study to see if the quality is actually better or worse than other options, these open-TTS models must be judged by what you think of their output. (That is, do your own study.)

I've found some of them to be surprisingly good. I keep a list of them, as I have future project ideas that might need a good one, and each has its own merits.

I'm yet to find one that does good spoken informal Chinese. I'd appreciate if anyone can suggest one!