

Real Time Voice AI Agent
Overview :
Real-time Voice AI Agent is a highly flexible real-time voice interaction model capable of answering any query via voice in approximately 500 milliseconds. The model supports the user's selection of any large language model, text-to-speech (TTS) model, and speech-to-text (STT) model. It is ideal for applications involving voice, such as customer service robots and receptionists.
Target Users :
Target audience includes enterprises looking to improve customer service efficiency, receptionists needing to handle voice interactions efficiently, and any application developers seeking rapid responses to voice queries.
Use Cases
Customer service robots use this model to quickly respond to customer inquiries.
Receptionists utilize this model to handle daily voice reception tasks.
Application developers integrate this model into their products, enhancing user experience.
Features
Real-time voice interaction with a response time of approximately 500 milliseconds.
Flexible integration with various large language models (LLMs), TTS, and STT models.
Utilizes the open-source framework Pipecat for handling voice and multimodal dialogue AI.
Communication via Daily's WebRTC transmission.
Seamless deployment and scaling achieved using the Cerebrium platform.
How to Use
1. Visit the GitHub page to learn more about the Real-time Voice AI Agent.
2. Read the documentation to understand how to integrate and use the model.
3. Select suitable large language models, TTS, and STT models based on your needs.
4. Use the Pipecat framework to handle voice and multimodal dialogue AI.
5. Implement real-time communication via Daily's WebRTC transmission.
6. Utilize the Cerebrium platform for model deployment and scaling.
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