New Restricted Boltzmann Machines and Deep Belief Networks for Audio Classification

Konferenz: Speech Communication - 14th ITG Conference
29.09.2021 - 01.10.2021 in online

Tagungsband: ITG-Fb. 298: Speech Communication

Seiten: 5Sprache: EnglischTyp: PDF

Persönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt

Baggenstoss, Paul M. (Fraunhofer FKIE, Wachtberg, Germany)

In this paper, the deep belief network (DBN), made popular by Hinton in 2006, is re-vitalized using maximum entropy sampling distributions, their corresponding activation functions, and a new direct training approach based on classifier performance. It is shown in keyword classification experiments that the DBN can compete with state of the art classifiers, and using additive classifier combination, improves upon a state of the art deep neural network.