How to design multi modal conversational interfaces for robots with Embodied CTO, Stefan Scherer.
Presented by Deepgram
Deepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:
Designing for robots
Embodied Inc. is the company behind Moxie, the social robot who’s sole objective is to help kids develop socio-emotional skills and traits. We’re joined by CTO, Stefan Scherer to discuss the design and engineeringconsiderations for creating a robot that uses natural language processing for its primary user interface, but thatalso has a face. This is the future of multi-modal conversation design.
