At a particular training size, a linear regression model has estimated that improving alignment quality by 1 edit distance toward the gold standard alignments leads to an 3.80-4.70% increase in G2P transcription accuracy.
we have also found that the importance of good alignments on G2P accuracy appears to dimish as data set size increases, possibly because the translation modules can accomodate more 'noisy' data in this scenario.