开源语音合成应用技术选型与架构设计

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).