Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition

15 Nov 2017Shankar KumarMichael NirschlDaniel Holtmann-RiceHank LiaoAnanda Theertha SureshFelix Yu

Recurrent neural network (RNN) language models (LMs) and Long Short Term Memory (LSTM) LMs, a variant of RNN LMs, have been shown to outperform traditional N-gram LMs on speech recognition tasks. However, these models are computationally more expensive than N-gram LMs for decoding, and thus, challenging to integrate into speech recognizers... (read more)

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