ggfox00000/dia-alimeeting-test
AliMeeting — test split (far + near, speaker diarization) Copie du split test d'AliMeeting (M2MeT challenge) en deux vues : far-field : 1 mix WAV par session (8-mic array, channel 1) near-field : 1 WAV par participant (headset microphones) Les TextGrid sources ont été convertis en RTTM standard pyannote par scripts/hf/upload_alimeeting.py du projet STTSTAGE. Contenu Vue Sessions WAV RTTM far 20 20 (1 mix/session) 20 near 20 60 (≈3 speakers/session)… See the full description on the dataset page: https://huggingface.co/datasets/ggfox00000/dia-alimeeting-test.
| Author / organization | ggfox00000 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 576 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 17 April 2026 |
| Last updated at source | 21 April 2026 |
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- 16 Oct 2026 Description: AliMeeting — test split (far + near, speaker diarization) Copie du split test d'AliMeeting (M2MeT challenge) en deux vues : far-field : 1 mix WAV par session (8-mic array, channel 1) near-field : 1 WAV par participant (headset microphones) → AliMeeting — test split (far + near, speaker diarization) Copie du split test d'AliMeeting (M2MeT challenge) en deux vues : far-field : 1 mix WAV par session (8-mic array, channel 1) near-field : 1 WAV par participant (headset microphones)
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