OC16-CE80: A Chinese-English Mixlingual Database and A Speech Recognition Baseline
TABLE II: OC16 MixASR-CHEN Baseline Results
['LM', 'WRE% Chinese', 'WRE% English', 'WRE% Overall']
From the results, we observe that the MIX, which is a mixture of THLM and OCLM and has a high bias on OCLM, works the best on both Chinese and English words. The THCHS30 LM is not much suitable for the OC16-CE80 test: it leads to a high WER on Chinese words, and 100% WER on English. Besides, the results of OCLM are not far from those of MIX. From the above, we know that merging THCHS30 can offer a bit benefit on the LM level. And the results with the domain-matched LM (OCLM) confirm that a reasonable multilingual ASR system can be established with the OC16-CE80 database, using the standard modeling approach. The only problem is that the WER on English words is still high, which is more clear when compared to the performance on Chinese words. Nevertheless, the baseline results demonstrate that the OC16-CE80 database is a reasonable resource for research on mixlingual speech recognition. Several methods can be simply employed to promote English words, e.g., cross-lingual phone/word sharing in the AM and LM. The aim of the baseline system is to offer a basic reference for the participants and so we do not consider these advanced tricks.