Speaker Diarization on AliMeeting (test)
0.0559DERTSVAD
Evaluation Results
| Method | Links | |
|---|---|---|
| TSVADTraining set=sim.+real, Size=21.16M, FLOPS=60.80M2022.03 | 0.0559 | |
| SENDTraining set=sim.+real, Size=18.42M, FLOPS=36.73M2022.03 | 0.058 | |
| SENDTraining set=sim., Size=18.42M, FLOPS=36.73M2022.03 | 0.0811 | |
| TSVADTraining set=sim., Size=21.16M, FLOPS=60.80M2022.03 | 0.087 | |
| SA-S2SND (E7 in Table 2)Evaluation Scenario=Offline, Model Size=Medium(45.96M+0.86M), Channels=1, Training Data=Compound dataset, Usage of DOA=true2025.10 | 0.104 | |
| MS-SphereVBx-PFPipeline=EEND-VC2026.06 | 0.106 | |
| SphereVBxPipeline=EEND-VC2026.06 | 0.107 | |
| MS-SphereVBxPipeline=EEND-VC2026.06 | 0.107 | |
| WavLM-LargeEvaluation Scenario=Offline2025.10 | 0.108 | |
| BaselinePipeline=EEND-VC2026.06 | 0.108 | |
| SOTA 02/2026Pipeline=EEND-VC2026.06 | 0.108 | |
| S2SND (E6 in Table 2)Evaluation Scenario=Offline, Model Size=Medium(45.96M), Channels=1, Training Data=Compound dataset2025.10 | 0.1133 | |
| EEND-TA + FTEvaluation Scenario=Offline2025.10 | 0.1141 | |
| EEND-EDAEvaluation Scenario=Offline2025.10 | 0.123 | |
| EEND-M2FEvaluation Scenario=Offline2025.10 | 0.132 | |
| Pyannote.audioEvaluation Scenario=Offline2025.10 | 0.152 | |
| VBxTraining set=sim.+real2022.03 | 0.156 | |
| DiaperEvaluation Scenario=Offline2025.10 | 0.207 |