seed-tts-eval
A testing dataset for evaluating a model's zero-shot speech generation capability
CommonProductOpenSourceSpeech SynthesisAutomatic Speech Recognition
seed-tts-eval is a testing dataset for evaluating a model's zero-shot speech generation capability. It provides an objective evaluation test set across diverse domains, containing samples extracted from both English and Mandarin public language repositories. This dataset is used to measure the model's performance across various objective metrics. It utilizes 1000 samples from the Common Voice dataset and 2000 samples from the DiDiSpeech-2 dataset.
seed-tts-eval Visit Over Time
Monthly Visits
488643166
Bounce Rate
37.28%
Page per Visit
5.7
Visit Duration
00:06:37