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 | 0.2228 | −0.4374 | 0.2781 | −0.3902 | 0.2312 | −0.5509 |
B-L2F-4-pllr fea+DTW fusion | 0.1825 | 0.1737 | 0.2355 | 0.2226 | 0.2967 | 0.2800 |
C-L2F-4-likel fea+DTW fusion | 0.2943 | 0.2743 | 0.3044 | 0.2666 | 0.3265 | 0.2340 |
D-ELiRF-UPV-Post+DTW | 0.1300 | 0.0870 | 0.1680 | 0.1139 | 0.1821 | 0.1399 |
E-ELiRF-UPV-Post+DTWNorm | 0.1408 | 0.1008 | 0.1779 | 0.1268 | 0.2185 | 0.1510 |
F-SPL-IT-UC-4-phnrec+DTW fusion | 0.2945 | 0.2321 | 0.3421 | 0.2761 | 0.4012 | 0.2862 |
G-SPL-IT-UC-3-phnrec+DTW fusion | 0.2860 | 0.2561 | 0.3423 | 0.3191 | 0.4082 | 0.3289 |
H-SPL-IT-UC-2-LIphnrec+DTW fusion | 0.2526 | 0.2253 | 0.2638 | 0.2332 | 0.3356 | 0.3352 |
I-Text-based STD | 0.8712 | 0.8626 | 0.8501 | 0.8474 | 0.8847 | 0.8814 |