Why it matters in real-time voice When conversations move from typed text to live audio, more than one person can speak into the same session — and the AI has to understand who is saying what. That ability to separate one voice from another is what this entry covers in the context of the channel's exploration of real-time voice interaction. Where to explore it further This term appears alongside the channel's broader coverage of real-time voice interaction with AI — sessions where people talk with AI, interrupt it, and think alongside it rather than typing. Explore those sessions to see how live audio changes what a conversation can be. - Speaker differentiation is about telling apart who is speaking, not just what is said.- It becomes relevant specifically in live, real-time voice sessions, where multiple voices may share one audio stream.- It connects to the channel's broader theme: voice turns AI from a text box into a presence you can talk with.