BUT QUESST 2015 System Description
Miroslav Skácel, Igor Szöke · MediaEval · 2015
All our systems are based on Dynamic Time Warping (DTW). These systems use bottle-neck features (BN) as input. The bottle-neck feature extractors were trained on GlobalPhone Czech, Portuguese, Russian and Spanish languages, so our approach is in low-resource category. We also aimed on T1/T2/T3 types of query search for late submission systems. System calibration and fusion were based on binary logistic regression. 1. MOTIVATION We developed one (single) system for on-time submission and two more systems for late submission. The system schema is in Figure 1. Similarly to last year, we used feature extractors already available at BUT (so-called Atomic Systems). We aimed only at bottle-neck features and DTW search approach this year. Our goal was to build a simple system and aim on word reordering in queries (T2/T3) (we addressed this problem in late submission). On the other hand, we have not addressed noise and reverberation in the data (see [1] for details on the task).