g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset
Table 5: Development set accuracy of varying models by the hidden size (denoted as H) and the number of LSTM layers (denoted as L). Note that the model in bold face is the best one.
['[width=1.0cm] [BOLD] HL', '1', '2', '3']
We observe that the bigger the hidden size is, the higher the accuracy is, as expected. The number of layers, however, is not the case. The model of a single layer with 64 hidden units shows the best performance.