Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning

The Open TTS Leaderboard offers a scalable, objective evaluation framework for multilingual text-to-speech and voice cloning models, addressing the limitations of human preference-based leaderboards. It uses metrics like word error rate, inference speed, and speaker similarity to rapidly assess over 8,000 open-source TTS models on Hugging Face. This approach enables faster, consistent benchmarking compared to traditional arena-style evaluations that rely on subjective human votes.