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 | 0.2691 | 0.2691 | 0.00006 | 0.676 |
Fusion (SGMM) | 0.2691 | 0.2691 | 0.00006 | 0.676 |
Fusion (DNN) + Posteriorgram | 0.2815 | 0.2815 | 0.00007 | 0.647 |
Fusion (DNN) | 0.2815 | 0.2815 | 0.00007 | 0.647 |
DTW-Zero | 0.0436 | 0.0122 | 0.00000 | 0.952 |
P1B-STDa | 0.0055 | 0.0031 | 0.00001 | 0.983 |
P1B-STDb | 0.0075 | 0.0047 | 0.00000 | 0.990 |
P1L-STD | 0.0000 | -0.0678 | 0.00000 | 1.000 |
DTW-Spanish | 0.0238 | 0.0217 | 0.00009 | 0.884 |
Text-based SGMM STD | 0.6795 | 0.6627 | 0.00006 | 0.256 |
Text-based DNN STD | 0.7299 | 0.7148 | 0.00007 | 0.199 |