Due to the diversity of scripts, phoneme inventories, phonotactic constraints, and spelling conventions among the world's languages, they are typically languagespecific.
while most statistical g2p learning methods are language-agnostic, they are trained on language-specific data-namely, a pronunciation dictionary consisting of word-pronunciation pairs, as in Table 1.