In this study, we experimented to examine the effect of adding the most frequent n phoneme bigrams to the basic vocabulary on the German phoneme recognition model using the text-to-phoneme data augmentation strategy. As a result, compared to the baseline model, the vowel30 model and the const20 model showed an increased BLEU score of more than 1 point, and the total30 model showed a significant decrease in the BLEU score of more than 20 points, showing that the phoneme bigrams could have a positive or negative effect on the model performance. In addition, we identified the types of errors that the models repeatedly showed through error analysis.
Cite
@article{arxiv.2211.13776,
title = {German Phoneme Recognition with Text-to-Phoneme Data Augmentation},
author = {Dojun Park and Seohyun Park},
journal= {arXiv preprint arXiv:2211.13776},
year = {2022}
}