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Acoustic Echo Cancellation on AEC Challenge 2023 (blind test)

4.72DT EMOSTBNN (Hybrid)
4.26244.38124.54.6188Jan 23, 2026Feb 18, 2026Mar 17, 2026Apr 13, 2026May 9, 2026Jun 5, 2026Jul 2, 2026

Evaluation results

MethodLinks
TBNN (Hybrid)# Param.=9.56M2026.074.724.16———4.374.73.91
E2E-AECExperiment=6, Configuration=PL + Knowledge Transfer + Time Alignment + VAD with masking2026.014.654.1878.694.774.424.51——
E2E-AECExperiment=5, Configuration=PL + Knowledge Transfer + Time Alignment + VAD2026.014.644.252.044.694.454.5——
LMPAN (+MA+AFM+STL)# Param.=0.48M, MACs=126M2026.074.634.1747.15——4.494.714.44
DeepVQEFramework=End-to-End2026.014.624.0265.74.614.364.4——
E2E-AECExperiment=4, Configuration=PL + Knowledge Transfer + Time Alignment2026.014.624.1750.634.694.454.48——
DeepVQE (E2E)# Param.=0.82M, MACs=315M2026.074.624.0265.7——4.44.614.36
Align-ULCNetFramework=Hybrid2026.014.63.8—4.774.284.36——
Align-ULCNet (Hybrid)# Param.=0.69M, MACs=100M2026.074.63.8———4.364.774.28
LMPAN (+MA+AFM+STL+DTA)# Param.=0.48M, MACs=126M2026.074.594.1245.04——4.444.664.4
LMPAN (+MA+AFM+SSL-only)# Param.=0.48M, MACs=126M2026.074.584.0946.43——4.444.664.42
E2E-AECExperiment=3, Configuration=PL + Knowledge Transfer2026.014.564.0749.044.74.444.44——
LMPAN (+MA+AFM)# Param.=0.48M, MACs=126M2026.074.514.0248.22——4.394.654.38
E2E-AECExperiment=2, Configuration=Progressive Learning (PL)2026.014.483.9646.394.684.414.38——
LMPAN (+MA)# Param.=0.32M, MACs=82M2026.074.433.8945.21——4.314.624.29
E2E-AECExperiment=1, Configuration=Base Model2026.014.413.8546.594.684.294.31——
LMPAN (Base Model (One-stage))# Param.=0.24M, MACs=65M2026.074.283.6942.33——4.174.64.09