THE SCHOOL OF KAMOS

The true nature of this awkward pause becomes clear if you think about radio communication with a mountain walkie-talkie. On a walkie-talkie, unless the speaker explicitly says, "Over!", the other person cannot tell whether they are about to continue speaking or simply taking a breath. Traditional voice AIs faced the exact same dilemma. Because they could not tell the moment a user stopped talking—whether it was the end of a sentence or just a pause to think of the next word—they were built to cautiously wait out the silence for an extra second or two to avoid rude interruptions.

For a new feature enabling voice interaction directly within design tools, the development team built a mechanism to slash this waiting time to its absolute limit. They introduced ultra-fast Voice Activity Detection (VAD) to distinguish the rise and fall of a human voice with minimal delay, coupled with a dedicated signal (activity_end) that notifies the system of speech completion with lightning speed. Furthermore, by finely tuning data transmission volumes during periods of silence, they ensured conversational breaks could be accurately captured while maintaining connection stability. Even without the speaker shouting a cue, the system senses from subtle shifts in breathing that "this is the exact moment they finished speaking" and responds instantly, creating a harmonious and synchronized conversational flow.