A two-stage CTC-trained acoustic model feeding a BLSTM classifier achieves 88.9 percent accuracy on ten Chinese dialects, beating a one-stage baseline by 10 percent.
The task intro- duced in this paper is more challenging than general LID tasks cause we use a dialect database which contains 10 dialects in China
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Two-stage Training for Chinese Dialect Recognition
A two-stage CTC-trained acoustic model feeding a BLSTM classifier achieves 88.9 percent accuracy on ten Chinese dialects, beating a one-stage baseline by 10 percent.