Multilayer perceptron with sparse hidden outputs for phoneme recognition

This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of one of the internal hidden layers is forced to be sparse. This is achieved by adding a sparse regularization term to the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Sivaram, G. S. V. S., Hermansky, Hynek
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Cost function Hidden Markov models machine learning Multilayer perceptron Neurons phoneme recognition sparse features Speech Speech processing Training
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