From: Comparison of ALBAYZIN query-by-example spoken term detection 2012 and 2014 evaluations
System ID | MTWV | ATWV | p(FA) | p(Miss) |
---|---|---|---|---|
Fusion (SGMM) + Posteriorgram | 0.2850 | 0.2850 | 0.00011 | 0.610 |
Fusion (SGMM) | 0.2824 | 0.2803 | 0.00010 | 0.619 |
Fusion (DNN) + Posteriorgram | 0.3572 | 0.3514 | 0.00007 | 0.578 |
Fusion (DNN) | 0.3579 | 0.3571 | 0.00006 | 0.580 |
DTW-Zero | 0.0455 | 0.0455 | 0.00002 | 0.930 |
P1B-STDa | 0.0128 | 0.0128 | 0.00000 | 0.986 |
P1B-STDb | 0.0092 | 0.0092 | 0.00000 | 0.990 |
P1L-STD | 0.0000 | 0.0000 | 0.00000 | 1.000 |
DTW-Spanish | 0.0612 | 0.0612 | 0.00005 | 0.893 |
Text-based SGMM STD | 0.6866 | 0.6866 | 0.00009 | 0.226 |
Text-based DNN STD | 0.7440 | 0.7398 | 0.00006 | 0.192 |