HEAR (Human-recorded Evaluation of Audio-LLM bias by Real speakers), a large-scale, ecologically valid benchmark comprising real human audio samples from demographically diverse participants.
2 stars
Python
Your first custom repo explanation is free. Reading existing public explainers always stays free.
This will take 10-20 minutes. You can close the tab and come back later.