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A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition

By Erik Mcdermott and others
This article describes a density ratio approach to integrating external Language Models (LMs) into end-to-end models for Automatic Speech Recognition (ASR). Applied to a Recurrent Neural Network Transducer (RNN-T) ASR model trained on a given domain, a matched in-domain RNN-LM, and a target domain RNN-LM, the proposed method uses Bayes'... Show more
February 27, 2020
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A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition
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