Ways of reading a conversation
Words, vocal expression and where LVA fits.
An accessible introduction to Layered Voice Analysis with its inventor, Amir Liberman. A relaxed fireside chat on what LVA picks up, how it started and why it matters. Open to everyone.
How we sound and what we're experiencing while speaking don't always match. That gap is the starting point for this fireside chat with Amir Liberman, CEO of Nemesysco and Emotion-Logic and the inventor of Layered Voice Analysis (LVA).
Hosted by Sheli Francis, the session is an accessible introduction to LVA told through Amir's story and practical examples: what it analyses, what the indicators mean, common misconceptions, how results are interpreted, and where it connects with AI. Sheli also brings in her own testing experience.
About an hour, with questions throughout. No background in voice analysis needed. The session is recorded and shared afterwards with everyone who registers.
Words, vocal expression and where LVA fits.
What sparked the idea, how he developed it and what surprised him along the way.
What it analyses, what the indicators mean and common misconceptions.
How Amir tests interpretations, what context matters and how he investigates unexpected findings.
A recording or case walked through together.
Where it is useful, its limitations and how it connects with AI. Questions throughout.