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Hugging Face releases Open TTS Leaderboard for objective evaluation of multilingual TTS and voice cloning

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

Who
hugging-face
When

What happened

Hugging Face released Open TTS Leaderboard, which uses objective metrics including WER/CER, RTFx, TTFA, and speaker similarity to evaluate open-source TTS models, reducing evaluation cycles from weeks of voting to hours.

Why it matters

Hugging Face replaces vote-based evaluation with objective metrics, showing how to compare open-source TTS models across languages and voice cloning.

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