liuhuang31 / g2pw_once

G2pw's inference speed is accelerated by about 8-10 times. Change loop generated predictive data to only once and model loop prediction becomes only once.

mainly modifications compare to original code

Origin G2pw will first perform sentence segmentation for each prediction, and a sentence maybe will divided into 10 times, so it needs to be called 10 times to make the prediction.

1. The inference speed is accelerated by about 8-10 times.
2. I just modified the code and inputted a sentence directly(generated predictive data to only once), and the model also need only predicting only once, so the speed is very fast.

sample use

import G2PWConverter
g2pw_model = G2PWConverter(model_dir=model_dir, style='pinyin', enable_non_tradional_chinese=True, use_g2pw_once=use_g2pw_once)
pinyins = g2pw_model(word)[0]