First European Conference on Speech Communication and Technology

Paris, France
September 27-29, 1989

Multilayer Perceptron Architectures for Data Compression Tasks

Pascal Blanchet

LIMSI - CNRS, Orsay, France

Different kinds of Multilayer Perceptrons, using a back-propagation learning algorithm, have been used to perform data compression tasks. Depending upon the architecture and the type of problem learned to solve (classification or auto-association), the networks provide different kinds of dimensionality reduction preserving different properties of the data space. Some experiments show that using the non-linearities of the MLP units may improve performances of classical linear dimensionality reduction. All the experiments reported here have been carried out on speech data.

Full Paper

Bibliographic reference.  Blanchet, Pascal (1989): "Multilayer perceptron architectures for data compression tasks", In EUROSPEECH-1989, 1329-1332.