Speech Recognition, AI, Machine Learning, NLP.
sentence need to be substituted to arrive at the truth. On the other hand, with normalization, WER is 0% as the ground truth and the prediction are exactly the same after normalization. Thus, normalization in the above example helped us accurately measure how well the model was able to convert