Phonologically Informed Tokenization for German Speech Recognition: A Cross-Domain Study
German is a morphologically rich language whose syllable structure is exceptionally well-predicted by the Knuth--Liang hyphenation algorithm. We ask whether phonologically informed tokenization can serve as a competitive target for end-to-end speech recognition. We compare three tokenizer families on the Omnilingual AS...
Christopher Witzl, Tobias Bocklet, Korbinian Riedhammer
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