Speaker Diarization on CALLHOME

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DER(%)

Rank	Model	DER(%)	DER(ig olp)	FA	MI	CF	Paper	Code	Year
1	Probabilistic Fusion and Calibration of 자동 추출	19	–	–	–	–	Probabilistic Fusion and Calibration of Neural Speaker Diarization Models		2025
2	TOLD	10.14	7.37	2.4	4.8	2.94	TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization	alibaba-damo-academy/FunASR	2023
3	SA-EEND (2-spk, adapted)	10.76	–	6.68	2.40	1.68	End-to-End Neural Speaker Diarization with Self-attention	hitachi-speech/EEND · JunzheJosephZhu/EEND-for-LENA	2019
4	EEND-OLA	12.57	9.14	–	–	–	TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization	alibaba-damo-academy/FunASR	2023
5	SA-EEND (2-spk, no-adapt)	12.66	–	7.42	3.93	1.31	End-to-End Neural Speaker Diarization with Self-attention	hitachi-speech/EEND · JunzheJosephZhu/EEND-for-LENA	2019
6	COS+AHC (Oracle SAD)	21.13	–	–	–	–	Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap	tango4j/Auto-Tuning-Spectral-Clustering	2020
7	EEND	23.07	–	–	–	–	End-to-End Neural Speaker Diarization with Permutation-Free Objectives	hitachi-speech/EEND	2019
8	COS+NJW-SC (Oracle SAD)	24.05	–	–	–	–	Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap	tango4j/Auto-Tuning-Spectral-Clustering	2020
9	COS+NME-SC (Oracle SAD)	–	7.29	–	–	–	Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap	tango4j/Auto-Tuning-Spectral-Clustering	2020
10	PLDA+AHC (Oracle SAD)	–	8.39	–	–	–	Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap	tango4j/Auto-Tuning-Spectral-Clustering	2020
11	COS+B-SC (Oracle SAD)	–	8.78	–	–	–	Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap	tango4j/Auto-Tuning-Spectral-Clustering	2020