The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Building AI Voice Agents with Scott Stephenson - #707

Oct 28, 2024
01:01:44
Snipd AI
Scott Stephenson, co-founder and CEO of Deepgram, shares his unique journey from particle physics to AI voice technology. He highlights the complexities of building intelligent voice agents, focusing on perception, interaction, and real-time updates. The discussion dives into the transformative potential of AI in customer service, emphasizing federated learning for continuous improvement. Scott also unveils Deepgram's new agent toolkit, showcasing applications across industries like healthcare and food service, and the need for adaptable models in voice interactions.
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Podcast summary created with Snipd AI

Quick takeaways

  • The shift from traditional speech models to integrated perception, understanding, and interaction frameworks enhances AI voice agents' communication effectiveness.
  • Advancements in audio AI technology, such as Whisper, improve accessibility and adaptability, though challenges like low-quality audio persist.

Deep dives

Shift from Traditional Models to Perception and Interaction

A significant shift in the conversation around AI models is occurring, moving away from traditional speech-to-text (STT) and text-to-speech (TTS) models to a focus on perception, understanding, and interaction models. This transition reflects a broader understanding that effective AI should encompass a holistic approach to interpreting, analyzing, and responding to human communication. Perception models enable AI to interpret audio inputs accurately, while understanding models process this information to derive meaning, and interaction models allow for engaging in dynamic dialogue with humans. This more integrated model architecture aligns with the aim of creating agents that can effectively interact and learn from the data they gather.

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