Closed model unfortunately, continues the theme of TTS / STT being really not great for local deployments.

Wait, did they release any new model or just changed the voxtral page? Voxal Mini 3B rocks hard in Handy!

One more hard question. How real time is this conversation? They're showing something with zero lag between responses.

Closed model means I'm immediately not interested. There are lots of closed STT/TTS models that are insanely good, better than any open model, so unless this is open then not sure I'd ever use this.

Hopefully smaller models soon that can be deployed locally for personal use, definitely don't want the speech data sent outside. But having the speech ability is going to improve usefulness of the already great gen AI models drastically!

I like that a lot of ASR models now offer native context biasing capabilities. If I have enough volume, I would probably just self-host my model and do my own biasing but good enough to roll out custom solutions.

My main issue with STT models are - WER - price - speed - language support

How did they integrate Voxtral Large exactly? Does it output a special token to indicate it is asking for help, or is it running a command?

Anyway, if it is trained to decide when to think/ask for help that's good.

Too bad it's not open source though. But for large companies in Europe or elsewhere that want to control their data, this might be one of the best options now.

Although the frontier is true full duplex. Anyone know if there is anything that is open source for that other than MoshiRag or PersonaPlex?

Also did the CSM update some months back fix it? I never got a chance to test it.

Interesting. I've found the Voxtral series pretty nice actually. Good transcription and diarization which is the primary personal use-case where I want to turn podcast content into text since I read faster than I listen. The older ones were pretty cheap too and had the nice property that they don't hallucinate text when there's no speech.

Closed :(

The examples they give of how they “improved” the voices aren’t great. Version 1 sounded like actual people, while this version sounds like generic AI slop voice.