OC16-CE80: A Chinese-English Mixlingual Database and A Speech Recognition Baseline
This provides a new dataset for researchers working on mixlingual speech recognition, but it is incremental as it builds on existing methods and resources.
The authors tackled the problem of Chinese-English mixlingual speech recognition by creating the OC16-CE80 database with 80 hours of speech from over 1,400 speakers, and they reported baseline results using a DNN-HMM system to demonstrate its utility for research.
We present the OC16-CE80 Chinese-English mixlingual speech database which was released as a main resource for training, development and test for the Chinese-English mixlingual speech recognition (MixASR-CHEN) challenge on O-COCOSDA 2016. This database consists of 80 hours of speech signals recorded from more than 1,400 speakers, where the utterances are in Chinese but each involves one or several English words. Based on the database and another two free data resources (THCHS30 and the CMU dictionary), a speech recognition (ASR) baseline was constructed with the deep neural network-hidden Markov model (DNN-HMM) hybrid system. We then report the baseline results following the MixASR-CHEN evaluation rules and demonstrate that OC16-CE80 is a reasonable data resource for mixlingual research.