Improved neural network based language modelling and adaptation

Neural network language models (NNLM) have become an increasingly popular choice for large vocabulary continuous speech recognition (LVCSR) tasks, due to their inherent generalisation and discriminative power. This paper present two techniques to improve performance of standard NNLMs. First, the

• Type: Journal
• Year: 2010
• Where: INTERSPEECH
• Authors: Junho Park, Xunying Liu, Mark J. F. Gales, Philip C. Woodland
• Keywords: Inherent Generalisation, INTERSPEECH 2010, Neural Network Language, Signal Processing, Vocabulary Continuous Speech