From: ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
System ID | MTWV | ATWV | p(FA) | p(Miss) | Fusion |
---|---|---|---|---|---|
A-GTM-UVigo-3-fea+DTW fusion | 0.2496 | −0.4356 | 0.00008 | 0.668 | YES |
B-L2F-4-pllr fea+DTW fusion | 0.2243 | 0.2181 | 0.00009 | 0.690 | YES |
C-L2F-4-likel fea+DTW fusion | 0.2973 | 0.2628 | 0.00012 | 0.587 | YES |
D-ELiRF-UPV-Post+DTW | 0.1530 | 0.1103 | 0.00001 | 0.835 | NO |
E-ELiRF-UPV-Post+DTWNorm | 0.1658 | 0.1232 | 0.00003 | 0.800 | NO |
F-SPL-IT-UC-4-phnrec+DTW fusion | 0.3334 | 0.2641 | 0.00007 | 0.593 | YES |
G-SPL-IT-UC-3-phnrec+DTW fusion | 0.3277 | 0.3011 | 0.00006 | 0.610 | YES |
H-SPL-IT-UC-2-LIphnrec+DTW fusion | 0.2662 | 0.2500 | 0.00007 | 0.664 | YES |
I-Text-based STD | 0.8617 | 0.8586 | 0.00004 | 0.097 | YES |