Voice AI Knows What You Say But Not What You Mean
Voice AI Space is a global community of builders, founders, and researchers exploring how machines listen, speak, and interact with people; Amsterdam followed earlier meetups in Barcelona, London, Dubai, Paris, and New York. The evening mixed networking with short talks and live demos from people building across the voice AI stack.
My talk addressed one of voice AI's harder open problems: getting systems to understand not just what people say, but what they mean. Sarcasm is a useful test case for this kind of work, since resolving it means weighing tone, timing, and context against the words themselves as opposed to the words "alone"; our research approaches this by combining speech, text, and vision, since sarcasm often shows up in one channel and not the others.
It's a different kind of room than an academic conference: builders and researchers comparing notes, in real time, on what actually holds up when these systems meet real users.
