Speaker Diarization On Nist Sre 2000
المقاييس
DER(%)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | DER(%) | Paper Title | Repository |
|---|---|---|---|
| TitaNet-L (NME-SC) | 6.73 | TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context | |
| TitaNet-S (NME-SC) | 6.37 | TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context | |
| x-vector (PLDA + AHC) | 8.39 | TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context | |
| TitaNet-M (NME-SC) | 6.47 | TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context | |
| x-vector (MCGAN) | 5.73 | TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context |
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