Recurrent Neural Network Language Model Adaptation for Multi-Genre Broadcast Speech Recognition and Alignment.

Recurrent neural network language models (RNNLMs) generally outperform n-gram language models when used in automatic speech recognition (ASR). Adapting RNNLMs to new domains is an open problem and current approaches can be categorised as either feature-based or model based. In feature-based adaptation, the input to the RNNLM is augmented with auxiliary features whilst model-based adaptation includ...