Creating Low Latency Voice Agents

In this video, Bob Doyle introduces Verbi, a modular voice assistant developed with community support. He provides a comprehensive guide on how to set up Verbi, which integrates various models for transcription, response generation, and text-to-speech functionalities. Bob explains the architecture of Verbi, highlighting its compatibility with top API providers like OpenAI, Grok, Eleven Labs, and Cartesia. The tutorial covers the process of creating a voice assistant system that operates with low latency, emphasizing the importance of selecting the right models for optimal performance. Bob demonstrates how to install Verbi, configure different models, and run the assistant in real-time, showcasing its ability to engage in conversational interactions while providing accurate information. He encourages viewers to explore the modular nature of the project, allowing for customization and experimentation with local models. The video concludes with an invitation for community contributions, aiming to enhance the functionality of Verbi further.