OC16-CE80: A Chinese-English Mixlingual Database and A Speech Recognition Baseline
TABLE III: OC16 MixASR-CHEN Baseline Errors
['Error type', 'Error% Chinese', 'Error% English', 'Error% Overall']
In order to gain more insight into the difficulties with mixlingual data, we look into the three different types of errors with the system using the MIX LM. Firstly it can be seen that substitution errors take the largest proportion, as expected. Secondly we observe that both the substitution and deletion errors are much more significant for English than for Chinese. To have a better understanding, we tune the LM weight and word insertion penalty to balance the insertion and deletion errors, and find that when the performance on Chinese words improves, the performance on English words decreases, and vice versa. Further analysis on the resultant transcriptions show that most of the substitution errors overall on English words occur because some of them are recognized as Chinese words with similar pronunciations.