Nathaniel Okenwa
Hello JARVIS - Building Voice Interfaces for Your LLMS
#1about 2 minutes
Introduction to building JARVIS-like voice interfaces
The goal of building a sophisticated voice AI assistant like Iron Man's JARVIS is now more achievable thanks to modern technologies.
#2about 5 minutes
Why natural voice AI has been so difficult
Fictional AI assistants set a high bar for natural voice interaction that early real-world technologies like Siri failed to meet until the arrival of LLMs.
#3about 3 minutes
Navigating the uncanny valley of AI conversations
To avoid the unsettling 'uncanny valley' in voice AI, systems must handle non-linear conversations, interruptions, and the subtle timing of human speech.
#4about 3 minutes
Architecting a composable text-based voice AI stack
A modern voice AI stack combines speech-to-text, an LLM, and text-to-speech, offering more control and better performance than current speech-to-speech models.
#5about 8 minutes
Live demo of handling user interruptions
The demo shows how to implement interruption handling by stopping the AI's audio output and feeding the context of the interruption back into the LLM prompt.
#6about 3 minutes
Using voice interstitials to manage processing delays
Voice interstitials are pre-emptive audio messages that inform the user an action is in progress, preventing the perception of a system failure during long tasks.
#7about 1 minute
Designing AI agents as a constellation of models
An effective voice AI system is not a single monolithic agent but a constellation of smaller, faster models for specific tasks like checking for wake words or playing interstitials.
#8about 2 minutes
Abstracting voice infrastructure with Twilio Conversation Relay
Twilio's Conversation Relay simplifies development by managing the complex audio pipeline, including speech-to-text, text-to-speech, and interruption handling, via a WebSocket API.
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