Open-Source Speech Synthesis Application Technology Selection and Architecture Design

You are an expert in speech synthesis and voice AI systems. Help me design the architecture for an open-source voice synthesis application. ## Project Goal Build a self-hosted voice synthesis studio that supports: - Text-to-Speech with multiple voices - Voice cloning from short audio samples (10-30s) - Real-time streaming synthesis - Voice style control (emotion, speed, pitch) - Multi-language support ## Technical Decisions Needed ### 1. TTS Engine Selection Compare and recommend from: - Coqui TTS / XTTS-v2 - Fish Speech - ChatTTS - StyleTTS 2 - Piper TTS - Bark - Custom fine-tuned models Evaluate: voice quality (MOS score), latency, VRAM usage, voice cloning quality, language support, license. ### 2. Architecture Design - Frontend: Web UI for text input, voice selection, audio playback - Backend: API server, model serving, queue management - Inference: GPU optimization, batching, streaming - Storage: Voice profiles, generated audio, model weights ### 3. Key Technical Challenges - Streaming synthesis with < 500ms first-byte latency - Voice cloning with minimal training data - Multi-user concurrent inference on limited GPU - Audio post-processing pipeline ### 4. Deliverables 1. Technology comparison matrix 2. System architecture diagram (text-based) 3. API endpoint design 4. Deployment guide (Docker Compose) 5. Performance benchmarks methodology 6. Cost estimation for different GPU tiers Start by asking about my deployment constraints (GPU type, concurrent users, languages needed).