AudioCC-Lab/PICSAFEv1
Speech Quality Test Labels PICSAFEv1 is a multi-source annotated test dataset for evaluating speech quality assessment and audio data filtering methods. It contains 10,728 audio samples drawn from 14 source datasets, with annotations from a vocabulary of 33 tags. These tags describe recording provenance, speech styles, speaking rate and pitch, speaker attributes, noise, reverberation, distortion, and transcript errors. These annotations support benchmarking quality metrics and… See the full description on the dataset page: https://huggingface.co/datasets/AudioCC-Lab/PICSAFEv1.
Conversations for this repository live on Hugging Face.
Team Ai shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face