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chicogong/README.md
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πŸš€ About Me

I build conversational AI and real-time voice experiences that let people talk to software as naturally as they talk to each other. I focus on connecting LLMs, TTS, and real-time communication to create both technical demos and production-ready products.

πŸ—£οΈ Voice & TTS Engineering

  • Building streaming ASR β†’ LLM β†’ TTS pipelines with interruptible playback for low-latency, natural dialogues
  • Working with human-like voice synthesis, fine-tuning prosody and emotional cues to make speech sound authentic and expressive
  • Delivering voice experiences via WebRTC with VAD, barge-in support, and chunked synthesis for responsive interactions
  • Engineering production-grade TTS systems: Distributed task scheduling, voice dubbing platforms, and TTS ecosystem products
  • Providing TTS-as-a-Service solutions and exploring adjacent voice technology applications

πŸ“ Product Design & Iteration

  • Designing conversation-first products with memory, tool calling, fallback handling, and action visualization
  • Fast iteration cycles: Write scenarios β†’ Build prototypes β†’ Interview users β†’ Validate with data
  • Tracking what matters: Conversation success rate, speech naturalness, tool reliability

πŸ” Interests

  • πŸ€– Conversational AI & Natural Language Processing
  • πŸŽ™οΈ Voice interaction, TTS, and speech technologies
  • πŸ“‘ Real-time communication & WebRTC
  • 🧠 Large Language Models, AI agents, and tool use

🌱 Currently Learning

  • Low-latency voice processing and synthesis techniques
  • Multi-modal interactions that mix speech, UI, and actions
  • Evaluation frameworks for dialogue/voice quality
  • Cloud-native deployment of real-time AI pipelines

πŸ’žοΈ Looking to Collaborate On

  • Voice-first conversational products and demos
  • TTS/ASR pipelines integrated with LLM agents
  • Real-time communication solutions and WebRTC tooling
  • AI-powered customer service and co-pilot scenarios
  • TTS engineering projects: Voice dubbing platforms, distributed synthesis systems, and TTS ecosystem solutions

Interested in TTS services or voice AI collaboration? Feel free to reach out!

πŸ› οΈ Tech Stack

πŸ“« How to Reach Me

⚑ Fun Fact

I believe the future of human-computer interaction lies in natural, conversational interfaces that understand not just what we say, but how we say it and why we say it.


GitHub Stats

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  1. trtc-ai-build-quickly trtc-ai-build-quickly Public

    Quickly build real-time AI voice conversation apps with TRTC. Supports multi-agent selection, LLM integration, and TTS/STT services.

    JavaScript 3

  2. conversational-ai-agent conversational-ai-agent Public

    TRTC-based Conversational AI Agent Platform - real-time voice/video AI interactions

    HTML

  3. realtime-ai realtime-ai Public

    Real-time AI voice conversation platform with WebSocket, supporting streaming STT/LLM/TTS

    Python 2

  4. trtc-ai-tts trtc-ai-tts Public

    TRTC-AI Service TTS Demo Experience

    HTML 1

  5. sim-demo sim-demo Public

    Simultaneous interpretation by TRTC-AI

    HTML 1