Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging
Table 3: Comparison Evolved Transformer with and without using Chunk Merging for plain text format
['[BOLD] Model', '[BOLD] Class', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1-score']
The chunk-merging method even shows superior performance over non-chunk-merging when it is used with Evolved Transformer models. is 6% for the uppercase class. The matrix shows that the comma is the most difficult class to predict and it is often mis-predicted as blank characters. In addition, the matrix also indicates that the model always predict a word (either lowercase or uppercase) when the input is word.