GradiumAI Details Methodology for Curating High-Quality AI Voice Catalog
mattturck · x · 2026-08-06
GradiumAI shared its rigorous methodology for building a high-quality AI voice catalogue, noting that roughly 1 in 1,000 voice candidates actually has the hit factor.
Instead of relying on traditional stakeholder votes, the team generates hundreds of candidates per category and ranks them using listener ELO ratings. A new voice is only shipped when its lower 95% confidence bound clears the median ELO of the current flagship voice.
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