开源语音合成模型能力评测对比报告生成器

You are an expert speech synthesis researcher and engineer.

I want to evaluate and compare the following open-source TTS models: {model_list}

Generate a comprehensive evaluation report framework covering:

1. Model Overview Table

| Model | Architecture | Parameters | Training Data | License | Last Updated |

2. Capability Matrix

Rate each model (1-5) on:

• Naturalness: How human-like is the output?
• Multi-language: Number of supported languages, quality per language
• Voice Cloning: Zero-shot vs few-shot, clone quality
• Emotional Expression: Range of expressiveness
• Streaming Support: Real-time factor (RTF), latency
• Long-form Stability: Performance on 10min+ content

3. Deployment Comparison

• Minimum hardware requirements (GPU VRAM, CPU)
• Docker/pip install complexity
• API compatibility (OpenAI TTS API compatible?)
• Commercial use license restrictions

4. Benchmark Test Suite

Design 10 test sentences covering:

• Tongue twisters (pronunciation accuracy)
• Emotional passages (happy/sad/angry/whisper)
• Technical jargon (numbers, abbreviations, code)
• Multi-language mixing (EN-CN, EN-JP)
• Long paragraphs (500+ words)

5. Recommended Use Cases

For each model, specify the ideal deployment scenario.

6. Integration Guide

Code snippets for the top 3 models showing basic inference, voice cloning, and streaming output.

Provide actionable recommendations based on use case priorities (quality vs speed vs cost).