AI-powered software identifies voices in noisy environments

Ken Sutton, CEO of Yobi Inc, discusses their innovative software that uses AI and signal processing to separate voices from background noise. The video includes a demo showing how their technology cleans up voice signals, outperforming traditional systems like Siri and Alexa. The AI makes real-time adjustments to enhance voice clarity and reduce noise, improving machine understanding of voice commands. NSF funding has been crucial in advancing their research and demonstrating the benefits of their technology in speech recognition and voice authentication.

Can you explain the significance of the pitch biometrics graph in the voice recognition process?

What improvements were quantified through the NSF funding for Yobi Inc's technology?