AP16-OL7: A Multilingual Database for Oriental Languages and A Language Recognition Baseline
Table 2: Cavg, EER, minDCF and IDR results of various baseline systems
['System', '[ITALIC] Cavg*100', 'EER%', '[ITALIC] minDCF', 'IDR%']
Cavg results The rows ‘i-vector’ and ‘L-vector’ present the results with the cosine distance scoring; ‘i-vector-SVM’ and ‘L-vecotr-SVM’ present the results with the SVM-based scoring. ‘Linear’, ‘Poly’(degree=3), and ‘RBF’ represent the three commonly used kernel functions. It can be seen that LDA leads to consistent performance gains, and the SVM-based scoring tends to outperform cosine distance scoring.