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Connecting and Comparing Language Model Interpolation Techniques
In this work, we uncover a theoretical connection between two language model interpolation techniques, count merging and Bayesian interpolation.
Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation
In this paper, we propose a novel solution to the FTM problem by introducing a parallel ASR decoding process with a special language model trained from "out-of-domain" data sources.
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