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Voice activity detection Datasets

1 datasets in the SAVRN Model Hub for voice activity detection, from publishers including Scicom (MSC) BHD.

1 datasets.

Dataset · Voice activity detection

semantic-vad-eot

Scicom (MSC) BHD

End-of-turn (semantic VAD) turns built from word-level forced alignments, schema-compatible with livekit/eot-bench-data. Each row is one user turn: an audio clip (16 kHz mp3), its words, and ordered silencespans. Per the eot-bench convention the last silence span is the true end-of-turn (eot); earlier spans are mid-turn hold pauses (labels positional, not stored). For every data type, all shards except the last form the train base; that type's last shard is split 50/25/25 into extra train / validation / test (shuffled, seed 42). - all (default) — every language + Malaysian subset. - 13 languages: en, fr, de, it, ja, ko, zh, pl, pt, ru, es, th, tr. - 5 Malaysian subsets (word-level, no…

Publicly accessible cc-by-4.0

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