Grapheme-to-phoneme model generation for Indo-European languages

In this paper, we evaluate grapheme-to-phoneme (g2p) models among languages and of different quality. We created g2p models for Indo-European languages with word-pronunciation pairs from the GlobalPhone project and from Wiktionary [1]. Then we checked their quality in terms of consistency and complexity as well as their impact on Czech, English, French, Spanish, Polish, and German ASR. While the GlobalPhone dictionaries were manually cross-checked and have been used successfully in LVCSR, Wiktionary pronunciations have been provided by the Internet community and can be used to rapidely and economically create pronunciation dictionaries for new languages and domains.