Similar to those on dependency parsing, the results on speech synthesis suggest that a broad approach that considers several different types of normalization edit is necessary to produce results comparable to those seen on clean text.
at a high level there is a clear divide in importance between normalization types, where the greatest performance gains can be obtained by focusing on the comparatively small number of token removals.