Real-time Voice AI Agent

Real-time voice AI agent

target audience

Real-time voice AI agents are suitable for businesses looking to improve customer service efficiency, receptionists who need to efficiently handle voice interactions, and any application developer looking for quick responses to voice queries.

Usage scenario examples

Customer service bots use this model to quickly respond to customer inquiries.

Receptionists use this model to handle daily voice reception work.

Application developers can integrate this model into their products to improve user experience.

Product features

Real-time voice interaction, response time is about 500 milliseconds.

Supports flexible integration of multiple large language models (LLMs), text-to-speech (TTS) and speech-to-text (STT) models.

Use the open source framework Pipecat to handle speech and multi-modal conversation AI.

Communication is via the WebRTC transport provided by Daily.

Deploy and scale seamlessly using the Cerebrium platform.

Tutorial

1. Visit the GitHub page to get detailed information about Real-time Voice AI Agent .

2. Read the documentation to learn how to integrate and use the model.

3. Select appropriate large-scale language models, TTS and STT models according to needs.

4. Use the Pipecat framework to process speech and multi-modal conversation AI.

5. Real-time communication through Daily’s WebRTC transmission.

6. Use the Cerebrium platform to deploy and expand the model.