Build AI Voice Agents with OpenAI's speech-to-speech

​Join Us! in this webinar where we are building an AI voice agents with OpenAI's speech-to-speech technology and VideoSDK's PythonSDK.

In this webinar we will be show casing the architecture that allows participants speak different languages to interact smoothly through AI-mediated translation.

Core Architecture Components

OpenAI's Speech-to-Speech Model (gpt-4o-realtime-preview):
- Processes raw audio directly without intermediate text conversion
- Maintains vocal nuances like emotion and intonation
- Operates with <200ms latency for natural conversations

VideoSDK Integration:
- Manages real-time audio/video streams between participants
- Provides meeting infrastructure for AI agent deployment
- Handles SIP telephony integration for traditional phone systems

Key Workflow for Translation App
- Language Selection: Participants choose native languages through UI
- Audio Capture: VideoSDK collects raw audio streams

Real-Time Processing:
- Speech recognition (Deepgram/OpenAI STT)
- AI translation between selected languages
- Response generation with contextual understanding

Multilingual Output:
- Text-to-speech synthesis in target language
- Audio stream redistribution through VideoSDK