Massively Multilingual Neural Grapheme-to-Phoneme Conversion
Table 4: Adapted Results
['Model', 'WER', 'WER 100', 'PER']
On the 229 languages for which Deri and Knight The best performance came with the version of our model that was trained on data in all available languages, not just the languages it was tested on. Using a language ID token improves results considerably, but even NoLangID beats the baseline in WER and WER 100.