Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging
Table 2: Comparison Seq2seq LSTM with and without using Chunk Merging for plain text format
['[BOLD] Model', '[BOLD] Class', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1-score']
As we can see, with the help of chunk merging, F1 score on all classes are improved consistently by 1%. The result indicates that the overlapped words give the model more information to make better prediction, and that our chunk-merging method can select good portion of the overlap area.