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This paper describes the winning approach in the Shared Task 3 at SwissText2021 on Swiss German Speech to Standard German Text, a public competition ondialect recognition and translation. Swiss German refers to the multitude ofAlemannic dialects spoken in the German-speaking parts of Switzerland. SwissGerman differs significantly from standard German in pronunciation, wordinventory and grammar. It is mostly incomprehensible to native German speakers.Moreover, it lacks a standardized written script. To solve the challengingtask, we propose a hybrid automatic speech recognition system with a lexiconthat incorporates translations, a 1st pass language model that deals with SwissGerman particularities, a transfer-learned acoustic model and a strong neurallanguage model for 2nd pass rescoring. Our submission reaches 46.04% BLEU on ablind conversational test set and outperforms the second best competitor by a12% relative margin.

Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021