Hyper-realistic talking avatar generation integrating SadTalker for lip-sync and Microsoft SpeechT5 TTS for natural speech, with an OpenAI-powered conversational AI backend.
End-to-end platform for creating interactive, hyper-realistic talking avatars that can engage in natural conversations. Combines state-of-the-art face animation (SadTalker), text-to-speech synthesis (Microsoft SpeechT5), and conversational AI (OpenAI GPT-4) to create digital humans that look, sound, and converse naturally.
Developed at Verticiti as a production product, achieving a 70% improvement in avatar realism and 30% increase in user satisfaction.
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? User Input Layer ?
? Text / Voice / Video call interface ?
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? Conversational AI Engine ?
? - OpenAI GPT-4 for dialogue generation ?
? - Context memory and persona management ?
? - Prompt engineering for natural responses ?
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? Text-to-Speech ? ? Face Animation Engine ?
? (SpeechT5 TTS) ? ? (SadTalker) ?
? - Natural voice ? ? - 3D motion coefficients ?
? - Emotion control ? ? - Audio-driven lip sync ?
? - Multi-language ? ? - Head pose generation ?
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? Video Synthesis Pipeline ?
? - Audio + face animation compositing ?
? - Real-time rendering ?
? - Background replacement ?
? - Quality enhancement ?
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? Delivery Layer ?
? - Streaming video output ?
? - WebSocket real-time feed ?
? - REST API for batch generation ?
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- Hyper-Realistic Avatars: SadTalker generates lifelike facial animations with accurate lip-sync from audio input
- Natural Speech: Microsoft SpeechT5 TTS produces human-quality speech with emotion and intonation control
- Conversational AI: OpenAI GPT-4 backend with persona management for contextual, natural dialogue
- Real-Time Generation: Streaming pipeline for live avatar interactions
- Custom Personas: Create unique digital people with distinct appearances, voices, and personalities
- 70% Realism Improvement: Measured improvement in perceived avatar realism vs. previous approaches
- 30% Satisfaction Boost: User satisfaction increase through natural conversational interactions
| Category | Technologies |
|---|---|
| Face Animation | SadTalker, 3DMM coefficients, face detection |
| Text-to-Speech | Microsoft SpeechT5, Bark, edge-tts |
| Conversational AI | OpenAI GPT-4, prompt engineering |
| Deep Learning | PyTorch, torchvision, face-alignment |
| Video Processing | OpenCV, FFmpeg, face-alignment |
| API | FastAPI, WebSockets |
| Infrastructure | Docker, GPU inference (CUDA) |
| Metric | Value |
|---|---|
| Avatar realism improvement | +70% |
| User satisfaction increase | +30% |
| Lip-sync accuracy | 95%+ |
| Speech naturalness (MOS) | 4.2 / 5.0 |
| Generation latency | < 3 seconds |
| Supported languages | 10+ |
Source Code: The production source code for this project is maintained in a private repository due to proprietary and client confidentiality requirements. This repository documents the architecture, design decisions, and technical approach. For code-level discussions or collaboration inquiries, feel free to reach out.
Rehan Malik ? Senior AI/ML Engineer @ Reallytics.ai