Techniahqrobot | humanoid robots(@techniahqrobot):Speech recognition gets much harder the moment people start talking like they actually do. People switch languages mid-sentence, restart thoughts, use weak microphones and speak over traffic or room noise. I’d test Hojo-ASR-Multi-V1 first on English and French code-switching, then add background noise and phone-recorded audio. That should expose where the transcription starts to break.

Techniahqrobot | humanoid robots@techniahqrobot

2026.09.21 09:01

Speech recognition gets much harder the moment people start talking like they actually do. People switch languages mid-sentence, restart thoughts, use weak microphones and speak over traffic or room noise. I’d test Hojo-ASR-Multi-V1 first on English and French code-switching, then add background noise and phone-recorded audio. That should expose where the transcription starts to break.

HojoAI@hojoHQ

2026.09.21 05:45

Clean audio is easy. Real conversations aren’t. People switch languages halfway through a sentence. They change their minds, speak over traffic noise, use bad microphones — and still expect the model to keep up. So we want to test the messy stuff. Send us a short, non-sensitive audio sample or tell us about a difficult voice scenario. We’ll test it with Hojo-ASR-Multi-V1 and share what works, what doesn’t, and where the model still needs improvement. What should we test first? Model: