Two-stage Training for Chinese Dialect Recognition
Table 2: System Performance of different multi-stage systems
['System Type', 'RNN', 'All', '≤3s', '>3s']
First of all, we compare the two-stage system and the three-stage system trained with phonetic sequence annotation and dialect category label with the baseline trained only with dialect category label. The two multi-stage system have the same ResNet14 architecture and use 2-layer BLSTM as the RNN part with 256 nodes. We also observe that both two multi-stage systems perform excellently in long duration ( >3s) task and the two-stage system illustrates its advantageous and robustness in short duration (≤3s) task.