Topic

Text-to-Speech

1 post about Text-to-Speech. Every summary links to the original.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

Posts

Hugging Face
Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
The open-source TTS model landscape has exploded, with over 8,000 models on Hugging Face Hub, yet evaluation methods remain unstandardized and cannot scale. The Open TTS Leaderboard addresses this by using objective metrics such as word error rate (WER), speaker similarity (SIM), and speed (RTFx and TTFA) to evaluate models in hours instead of weeks. It supports multilingual evaluation and voice cloning, providing separate tabs for listening to outputs and comparing streaming performance. Unlike arena-based leaderboards that significantly underrepresent open models due to high hosting costs, this leaderboard prioritizes open-source models. The project encourages community participation through feedback and voting; evaluation scripts will be open-sourced soon, and future updates will incorporate new datasets, languages, and metrics.

The best engineering reads, once a week.

Topic

1 post about Text-to-Speech. Every summary links to the original.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

Hugging Face
Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
The open-source TTS model landscape has exploded, with over 8,000 models on Hugging Face Hub, yet evaluation methods remain unstandardized and cannot scale. The Open TTS Leaderboard addresses this by using objective metrics such as word error rate (WER), speaker similarity (SIM), and speed (RTFx and TTFA) to evaluate models in hours instead of weeks. It supports multilingual evaluation and voice cloning, providing separate tabs for listening to outputs and comparing streaming performance. Unlike arena-based leaderboards that significantly underrepresent open models due to high hosting costs, this leaderboard prioritizes open-source models. The project encourages community participation through feedback and voting; evaluation scripts will be open-sourced soon, and future updates will incorporate new datasets, languages, and metrics.

The best engineering reads, once a week.