Open-weights SUPlime beats pyannote's commercial diarization with 15.86 DER
solyarisoftware · x · 2026-09-12
Re:WayAI has open-sourced SUPlime, a speaker diarization model packaged for pyannote.audio 4.x. It achieves 15.86 macro DER on pyannote's 8-corpus benchmark, beating pyannoteAI's commercial precision-2 (16.06), and 20.94 across all 12 corpora.
- Two variants: SUPlime on a WavLM-Base+ backbone (114M params) and SUPlime-L on WavLM-Large (349M)
- SUPlime-L is stronger on meeting/conversational audio; the base model wins on far-field recordings (CHiME-6, DiPCo, NOTSOFAR-1)
- Architecture: Conformer segmentation + SimAM-ResNet34 embeddings; weights and training code are open
- Alpha CEPHEI notes strong results on non-English telephony, close to Diarizen Large V2
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