Open TTS Leaderboard
AssessPlatforms
A benchmark leaderboard for evaluating text-to-speech models with objective metrics.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Hugging Face Blog·9/30/2026researchHugging Face Launches Open TTS Leaderboard for Multilingual Evaluation
Hugging Face introduced the Open TTS Leaderboard to evaluate open-source and multilingual text-to-speech models with objective metrics. It measures intelligibility, speed, and speaker similarity, aiming to scale evaluation beyond human-vote arenas while still complementing them.