Multi-Domain Recurrent Neural Network Language Model for Medical Speech Recognition
Tilk Ottokar, Alum auml e Tanel · Frontiers in artificial intelligence and applications · 2014
We evaluate back-off n-gram and recurrent neural network language models for an automatic speech recognition system for medical applications. We also propose an effective and simple multi-domain recurrent neural network architecture which enables training a joint model for all domains. The multi-domain recurrent neural network model outperforms all other compared models.