As a platform enabler, Ken Sutton of Yobe see a future where voice is moving from a “nice to have” user interface to a “need to have” revenue generator. Yobe’s AI-powered platform is purpose-built for live crowds and noisy environments to identify and decode human voices. Modeled on human hearing, Yobe’s signal processing techniques substantially increase SNRs (signal-to-noise ratio) in noisy environments allowing the ability to decipher emotion, intent, mood, and other biological markers for an added layer of meaning.

In this episode, Ken talks with Darin & Jeff about the challenges of understanding speech in real-world environments.