Semi-supervised Learning with Sparse Autoencoders in Phone Classification

3 Oct 2016Akash Kumar DhakaGiampiero Salvi

We propose the application of a semi-supervised learning method to improve the performance of acoustic modelling for automatic speech recognition based on deep neural net- works. As opposed to unsupervised initialisation followed by supervised fine tuning, our method takes advantage of both unlabelled and labelled data simultaneously through mini- batch stochastic gradient descent... (read more)

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