Hi,
I’m working on a ASR topic in here 217 and recently I’ve changed my code to support PyTorch 1.0.0. It used @SeanNaren’s warp-ctc 119, however, when I replace its CTCLoss function to PyTorch’s brand new one, the training becomes not being converged well. The loss reduced to small, but the label error rate or word error rate were not improved, and all output sequence of the trained model contains only blanks. Does anybody have this similar like me?
I’d like to test the both of CTCLosses but don’t know is there any simple and reliable testing example for CTC. Please let me know if you have any good example.