AI BriefingHuggingFace Releases TTS Arena
Key point
HuggingFace has launched TTS Arena, which compares the quality of TTS models based on human preferences.
Details
Measuring the naturalness and intonation of text-to-speech (TTS) models has limitations when relying solely on automated metrics like WER (Word Error Rate). To address this, HuggingFace has announced TTS Arena, inspired by LMSys's Chatbot Arena.
TTS Arena works by having users enter text, listening to speech generated by two different models, and voting for the more natural-sounding speech. The voting results are ranked using the Elo rating system, the same system used in chess and gaming, to build a reliable, community-based leaderboard.
The major models included at launch are as follows:
- Proprietary: ElevenLabs
- Open-source: MetaVoice, OpenVoice, Pheme, WhisperSpeech, XTTS
The platform aims to provide an environment for directly comparing the performance of open-source and proprietary models, helping developers select and compare better models.
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