AudioCC-Lab/Emilia_ERT

Emilia ERT Dataset summary Emilia ERT contains 9,310,186 speech segments totaling 26,133.85 hours in six languages, distributed as 666 audio TAR shards and a single 34-column metadata table, metrics.scp. The data originate from Emilia dataset and were selected using the SQA+SED filtering strategy described in the accompanying paper, combining speech quality assessment (SQA) and sound event detection (SED). Existing transcripts and automatic audio metrics are… See the full description on the dataset page: https://huggingface.co/datasets/AudioCC-Lab/Emilia_ERT.

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