most citedPowerful and Extensible WFST Framework for RNN-Transducer Losses

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

eess.AS2023★ 3 cited

Powerful and Extensible WFST Framework for RNN-Transducer Losses

Aleksandr Laptev, Vladimir Bataev, Igor Gitman +1

This paper presents a framework based on Weighted Finite-State Transducers (WFST) to simplify the development of modifications for RNN-Transducer (RNN-T) loss. Existing implementat…