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 | 0.2739 | 0.2646 | 0.00008 | 0.651 | YES |
B-L2F-4-pllr fea+DTW fusion | 0.2343 | 0.2287 | 0.00005 | 0.715 | YES |
C-L2F-4-likel fea+DTW fusion | 0.2789 | 0.2542 | 0.00006 | 0.657 | YES |
D-ELiRF-UPV-Post+DTW | 0.2003 | 0.1729 | 0.00002 | 0.779 | NO |
E-ELiRF-UPV-Post+DTWNorm | 0.1958 | 0.1759 | 0.00003 | 0.776 | NO |
F-SPL-IT-UC-4-phnrec+DTW fusion | 0.2674 | 0.2294 | 0.00005 | 0.685 | YES |
G-SPL-IT-UC-3-phnrec+DTW fusion | 0.2682 | 0.2427 | 0.00005 | 0.679 | YES |
H-SPL-IT-UC-2-LIphnrec+DTW fusion | 0.2137 | 0.1913 | 0.00005 | 0.736 | YES |
I-Text-based STD | 0.6414 | 0.6260 | 0.00006 | 0.298 | YES |