AigizK/homai_wake_word_1020ms
Homai Wake Word 1020 ms Binary training corpus for a wake-word detector that should react to Һомай and Хомай, and reject other speech. Every audio value is mono 16 kHz FLAC with exactly 16,320 samples (1020 ms). Audited size Split Rows train 1,589,300 validation 87,701 test 87,776 Total 1,764,777 Label Rows positive 833,696 negative 931,081 Source rows in the release: AigizK/Homai-Wake-Word (5,486)… See the full description on the dataset page: https://huggingface.co/datasets/AigizK/homai_wake_word_1020ms.
This repository belongs to AigizK on Hugging Face.
CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.
