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yihao005/Multi-Talker-SD

Dataset Card for Multi-Talker-SD Dataset Description Multi-Talker-SD is a large-scale bilingual (English–Mandarin) multi-speaker meeting dataset designed to support research on speaker diarization and meeting transcription. Size: 1,000 simulated meetings Participants per meeting: 10–30 speakers Average duration: ~20 minutes per meeting, up to one hour Languages: English, Mandarin (code-switching possible) Audio characteristics: realistic speaker overlap… See the full description on the dataset page: https://huggingface.co/datasets/yihao005/Multi-Talker-SD.

Author / organizationyihao005
License (as declared)apache-2.0
Downloads4.1K (as reported by Hugging Face)
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Created16 September 2025
Last updated at source21 September 2025
speaker-diarizationmeeting-transcriptionbilingual
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