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eess.AS2024★ 1 cited
Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter
Andrei Andrusenko, Aleksandr Laptev, Vladimir Bataev +2
Accurate recognition of rare and new words remains a pressing problem for contextualized Automatic Speech Recognition (ASR) systems. Most context-biasing methods involve modificati…
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…