HyperAIHyperAI

Command Palette

Search for a command to run...

Plattform

Speaker Diarization On Nist Sre 2000

Metriken

DER(%)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Paper Title
x-vector (PLDA + AHC)8.39TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
TitaNet-L (NME-SC)6.73TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
TitaNet-M (NME-SC)6.47TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
TitaNet-S (NME-SC)6.37TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
x-vector (MCGAN)5.73TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
0 of 5 row(s) selected.
Speaker Diarization On Nist Sre 2000 | SOTA | HyperAI