AP18-OLR Challenge: Three Tasks and Their Baselines
Table 5: Cavg and EER results with and without interference languages
['System', 'Without interference  [ITALIC] Cavg', 'Without interference EER%', 'With interference  [ITALIC] Cavg', 'With interference EER%']
, utterances from non-target languages will be added to the test set. To have a quick glimpse of the influence of the interference languages, we chose 1,264 utterances in non-target languages, and combine them with 3,000 utterances randomly selected from AP17-OLR-test, leading to 42,640 trials where 12,640 non-target ones are from the interference languages. From the results, it can be seen that interference utterance indeed impacts the performance of LID systems, particularly in terms of EER. In the official test set that will be released, there will be a significant proportion of utterances of non-target languages.