Table 9 System results of the ALBAYZIN QbE STD 2016 evaluation on the development data
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 | 0.2800 | 0.2750 | 0.00002 | 0.699 | YES |
B-L2F-4-pllr fea+DTW fusion | 0.2422 | 0.2247 | 0.00005 | 0.704 | YES |
C-L2F-4-likel fea+DTW fusion | 0.3190 | 0.3099 | 0.00005 | 0.635 | YES |
D-ELiRF-UPV-Post+DTW | 0.1991 | 0.1991 | 0.00000 | 0.801 | NO |
E-ELiRF-UPV-Post+DTWNorm | 0.2057 | 0.2057 | 0.00000 | 0.794 | NO |
F-SPL-IT-UC-4-phnrec+DTW fusion | 0.2954 | 0.2954 | 0.00008 | 0.621 | YES |
G-SPL-IT-UC-3-phnrec+DTW fusion | 0.3001 | 0.3001 | 0.00002 | 0.683 | YES |
H-SPL-IT-UC-2-LIphnrec+DTW fusion | 0.2009 | 0.2009 | 0.00005 | 0.749 | YES |
I-Text-based STD | 0.6576 | 0.6559 | 0.00005 | 0.288 | YES |