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Today's fun project: benchmarking Speech to Text engines for a real-time autocue-like document scrolling feature that listens to live speech. I'm comparing Whistle (new free on-device local model, https://cactuscompute.com/blog/whistle) vs Deepgram (chargeable API, market…
cactuscompute.comWhistle: Speech to Text in 16.9 MBAn open speech recognition model that runs on the same CPU engine as Needle. It transcribes seven languages, reaches the first token in 11 ms, and loads beside Needle so one binary turns a clip straight into tool calls.
This looks promising, working on a product which uses such models. I'll try whistle and check the results.

commit 9b49a95