Unsupervised and semi-supervised adaptation of a hybrid speech recognition system

Abstract

This paper evaluates a recently published method for supervised and unsupervised adaptation of neural networks used in hybrid speech recognition systems. The neural networks used in the field of hybrid speech recognition have certain distinct characteristics that make the usual adaptation methods (such as retraining the neural network) unusable or ineffective.