Filip Jurčíček

A note on what I do when I am not writing about KALDI graphs: I take on voice AI work through Voicebre Systems , a small consultancy based in Prague. Three things, mostly: custom speech recognition — including voice commands and languages that the off-the-shelf stacks handle badly; natural language understanding for conversational systems; and end-to-end voice agents, from VUI design through to integration with whatever is already running in the business. The interesting problems are usually not the model. They are the data you are allowed to use, the latency budget, and what happens on the turn where the user says something nobody anticipated. If that is the shape of your problem, get in touch .

Most dictation today is a round trip to someone else's GPU. That is fine until your voice is the part the model was never trained on — an accent, a speech difference, a bad microphone in a noisy room — and you have no way to make it adapt. That is the problem Vokarys goes after. It is a desktop app that turns speech into text with recognition running locally on your computer, with punctuation and capitalisation added as you talk. It learns from your own voice over time, and recordings stay on the machine unless you explicitly choose to contribute them. There is a voice chat mode wired to Gemini as well, and a browser version if you would rather not install anything. If you have given up on dictation because the generic model never quite got you, it is worth a look.