From: ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
System ID | Short | Medium | Long | |||
---|---|---|---|---|---|---|
 | MTWV | ATWV | MTWV | ATWV | MTWV | ATWV |
A-GTM-UVigo-3-fea+DTW fusion | 0.2976 | 0.2765 | 0.2353 | 0.2224 | 0.3388 | 0.3256 |
B-L2F-4-pllr fea+DTW fusion | 0.2498 | 0.2346 | 0.1958 | 0.1850 | 0.3197 | 0.3009 |
C-L2F-4-likel fea+DTW fusion | 0.2820 | 0.2529 | 0.2533 | 0.2326 | 0.3499 | 0.2957 |
D-ELiRF-UPV-Post+DTW | 0.2219 | 0.2134 | 0.1889 | 0.1452 | 0.2319 | 0.1672 |
E-ELiRF-UPV-Post+DTWNorm | 0.2219 | 0.2169 | 0.1804 | 0.1464 | 0.2455 | 0.1729 |
F-SPL-IT-UC-4-phnrec+DTW fusion | 0.3011 | 0.2544 | 0.2291 | 0.1710 | 0.3318 | 0.3020 |
G-SPL-IT-UC-3-phnrec+DTW fusion | 0.3013 | 0.2480 | 0.2209 | 0.1941 | 0.3332 | 0.3244 |
H-SPL-IT-UC-2-LIphnrec+DTW fusion | 0.2296 | 0.2075 | 0.2078 | 0.1815 | 0.2143 | 0.1865 |
I-Text-based STD | 0.5718 | 0.5472 | 0.7044 | 0.6959 | 0.6439 | 0.6077 |