HyperAIHyperAI
StartseiteNeuigkeitenNeueste ForschungsarbeitenTutorialsDatensätzeWikiSOTALLM-ModelleGPU-RanglisteVeranstaltungen
Suche
Über
HyperAIHyperAI

Speaker Diarization On Callhome

Metriken

DER(ig olp)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
DER(ig olp)
Paper TitleRepository
PLDA+AHC (Oracle SAD)8.39Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
COS+NME-SC (Oracle SAD)7.29Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
COS+B-SC (Oracle SAD)8.78Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
COS+AHC (Oracle SAD)-Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
SA-EEND (2-spk, no-adapt)-End-to-End Neural Speaker Diarization with Self-attention
SA-EEND (2-spk, adapted)-End-to-End Neural Speaker Diarization with Self-attention
TOLD7.37TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization
EEND-OLA9.14TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization
COS+NJW-SC (Oracle SAD)-Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
EEND-End-to-End Neural Speaker Diarization with Permutation-Free Objectives
0 of 10 row(s) selected.
Speaker Diarization On Callhome | SOTA | HyperAI