diarizers-community/synthetic-speaker-diarization-dataset-fa-3000
Diarization Benchmark Results We evaluated two speaker diarization systems on the Synthetic Speaker Diarization Dataset (Farsi), containing 2,976 audio samples with speaker labels and reference segment timestamps. Performance Comparison Model Diarization Error Rate (DER) ↓ Real-Time Factor (RTF) ↓ NVIDIA Nemotron-3-Diarization 9.22% 0.00875 pyannote/speaker-diarization-3.1 50.11% 0.04431 Key findings: Lower diarization error:… See the full description on the dataset page: https://huggingface.co/datasets/diarizers-community/synthetic-speaker-diarization-dataset-fa-3000.
| Author / organization | diarizers-community |
|---|---|
| License (as declared) | mit |
| Downloads | 265 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 2 June 2025 |
| Last updated at source | 11 October 2026 |
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