LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
Xie Chen,
Sarangarajan Parthasarathy,
William Gale
et al.
Abstract:LSTM language models (LSTM-LMs) have been proven to be powerful and yielded significant performance improvements over count based n-gram LMs in modern speech recognition systems. Due to its infinite history states and computational load, most previous studies focus on applying LSTM-LMs in the second-pass for rescoring purpose. Recent work shows that it is feasible and computationally affordable to adopt the LSTM-LMs in the first-pass decoding within a dynamic (or tree based) decoder framework. In this work, th… Show more
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