Hi, I try to train Taiwan Chinese speech recognition using common voice dataset, I already finished the training and the loss is around 55 using this only common voice dataset. But for testing it taking really - really long time. I think that I did something wrong for generate the alphabet for Chinese resulting very large alphabet. I need your help:
Could anyone provide step by step to generate alphabet in the correct way for Chinese? I read about UTF-8 in Deep Speech documentation but could not really understand it.
Do we need to create language model to train Chinese Speech Recognition? If yes, how you generate the language model?
I prefer to use Taiwanese datasets from common voice, if you have any pretrained model in Chinese it will really help me maybe I could do the transfer learning for train Taiwanese Dataset.
Thank you and sorry for the newbie questions. I am really stuck in this point now.