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DTW Cosine distance 3 systems H-SPL-IT-UC-2-LIphnrec+DTW fusion Phoneme post.
DTW Cosine distance 4 systems G-SPL-IT-UC-3-phnrec+DTW fusion Phoneme post.
Fig. 5 F-SPL-IT-UC-Four phoneme recognizer+DTW-based fusion QbE STD system architecture.
The systems submitted by the SPL-IT-UC group (F-SPL-IT-UC-4-phnrec + DTW fusion, G-SPL-IT-UC-3-phnrec+DTW fusion, and H-SPL-IT-UC-2-LIphnrec + DTW fusion) differ in the number of subsystems that are used for the fusion.
Cosine distance – F-SPL-IT-UC-4-phnrec+DTW fusion Phoneme post.
The candidate hit selection proposed in the F-SPL-IT-UC-4-phnrec+DTW fusion system is also worth mentioning.
The best performance for the QbE STD task was for the language-dependent G-SPL-IT-UC-3-phnrec + DTW fusion system.
This system is the same as the F-SPL-IT-UC-Four phoneme recognizer + DTW-based fusion QbE STD system except that only the detections of the systems which employ the English and the Portuguese phoneme recognizers are fused.
This best performance was statistically significant for a paired t test compared with the D-ELiRF-UPV-Post + DTW (p<0.01), E-ELiRF-UPV-Post + DTWNorm (p<0.01) and H-SPL-IT-UC-2-LIphnrec + DTW fusion (p<0.01) systems.
The performance obtained by the H-SPL-IT-UC-2-LIphnrec+DTW fusion system also confirmed significant performance degradation when the target language information was not used in the system.
The results suggest that using the target language is not that beneficial when the acoustic domain of the development and the test data changes, since the performance of the language-independent QbE STD systems, i.e., H-SPL-IT-UC-2-LIphnrec+DTW fusion, is better than that of some language-dependent QbE STD systems, i.e., B-L2F-4-pllr fea + DTW fusion.
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