Two-stage Training for Chinese Dialect Recognition
Table 3: Comparison of two-stage system with different RNN structures
['RNN', 'Layers', 'Nodes', 'All', '≤3s', '>3s']
We further explore the impact of different RNN structures with bidirectional gated recurrent unit (BGRU) and BLSTM. Moreover, with the same layers and nodes, BLSTM outperforms BGRU in the two sub-tasks. We believe that sound related tasks do not need a very deep network as image related tasks, that is also the reason why we use a shallow ResNet14 as the CNN part.