The authors report scalable training of neural LMs from heterogeneous corpora for ASR second-pass rescoring, delivering 6.2% relative WER reduction with minimal latency increase.
The most common approach to building LMs for ASR systems is to learn back-off n-gram models on large text corpora
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Scalable Multi Corpora Neural Language Models for ASR
The authors report scalable training of neural LMs from heterogeneous corpora for ASR second-pass rescoring, delivering 6.2% relative WER reduction with minimal latency increase.