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Multi-Domain Recurrent Neural Network Language Model for Medical Speech Recognition
Ottokar Tilk, Tanel Alumäe
149 - 152
10.3233/978-1-61499-442-8-149
Frontiers in Artificial Intelligence and Applications
Volume 268: Human Language Technologies – The Baltic Perspective
Abstract

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.

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