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.

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