Real‑Time Voice & Streaming AI

Low-latency voice assistants and streaming responses

Real-time voice AI systems that enable natural, conversational interactions with minimal latency. I build voice assistants that integrate speech-to-text, intelligent processing, and text-to-speech into seamless experiences. These systems use WebRTC for low-latency voice communication, streaming responses for immediate feedback, and maintain session state for context-aware conversations. Whether building voice-enabled customer support, interview systems, or voice-controlled applications, I engineer systems that feel natural and perform reliably in production.

What I Build

  • Voice assistants with WebRTC for sub-3 second latency
  • Speech-to-text (STT) integration with multiple providers
  • Text-to-speech (TTS) with natural voice synthesis
  • Streaming AI responses for real-time conversation flow
  • Session state management for context preservation
  • LiveKit integration for production voice infrastructure
  • WebSocket connections for real-time bidirectional communication
  • Voice activity detection and noise cancellation
  • Multi-language voice support
  • Voice analytics and conversation quality monitoring

Technologies

I use a comprehensive stack of production-ready technologies to build reliable systems:

Model Provider APIsLiveKitWebRTCWebSocketSTT APIsTTS APIsLangGraphFastAPINext.jsPostgreSQLRedisDockerTypeScriptPythonStreamingSession ManagementAudio ProcessingNoise CancellationCloud InfrastructureCDN

Capabilities

Voice agents
STT/TTS
Streaming
WebSockets & state
Low-latency communication
Session persistence
Multi-language voice
Audio quality optimization
Real-time transcription
Voice analytics