DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation
Table 3: CER (%) results of multilingual ASR using different CNN modules.
['Language', 'CNN Module VGG-Small', 'CNN Module VGG-Large', 'CNN Module DARTS-ASR']
Then we compared DARTS-ASR with VGG-Small and VGG-Large. All three kinds of CNN modules got much better performance on multilingual ASR than monolingual ASR. On multilingual ASR, VGG-Large achieved better results than VGG-Small on average CER. Among those, DARTS-ASR still outperformed both VGG-Small and VGG-Large by a significant margin. It indicates DARTS-ASR can also benefit from multilingual learning to build a shared acoustic pre-trained model with a better architecture and parameter weights.