mazesmazes/turn-end-detection
Turn-end detection from real ASR prefixes, with audio 100,348 labelled end-of-turn decision points over 53,140 synthesized customer-service utterances, each one paired with the 16 kHz audio it was cut from, plus the endpointing decisions 6 commercial endpointer configurations made on the same audio. The question each row poses is the one a voice agent has to answer continuously: given everything heard so far, has the caller finished speaking? Ending the turn too early talks over… See the full description on the dataset page: https://huggingface.co/datasets/mazesmazes/turn-end-detection.
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