Open-Source TTS Model Evaluation Report Generator

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).