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Explore the evolution of voice AI technology from simple command-response systems to sophisticated conversational agents powered by Large Language Models in this 13-minute conference talk. Discover how advances in foundational AI models are transforming human-machine interactions through improved automatic speech recognition, human-like speech synthesis, and deep language comprehension capabilities. Learn the fundamental principles and best practices for creating responsive, realistic, and engaging AI agents that can handle complex conversations and provide context-sensitive responses comparable to human speakers. Gain insights into natural language processing techniques, multimodal interaction design, and the key challenges involved in developing autonomous voice-powered systems. Understand the design considerations necessary for building AI agents capable of managing sophisticated dialogue through spoken language exclusively, as presented by Scott Stephenson, Founder and CEO of Deepgram, at the AI Engineer World's Fair in San Francisco.
