SpeechJudge-Data

SpeechJudge-Data: A Large-Scale Human Feedback Corpus for Speech Generation Introduction SpeechJudge-Data is a large-scale human feedback corpus of 99K speech pairs. The dataset is constructed using a diverse set of advanced zero-shot text-to-speech (TTS) models across diverse speech styles and multiple languages, with human annotations for both intelligibility and naturalness preference. This dataset accompanies the paper SpeechJudge: Towards Human-Level Judgment… See the full description on the dataset page:

Source: Hugging Face Hub (RMSnow/SpeechJudge-Data). Metadata imported from the dataset’s Hub tags.