5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Predictive Neural Networks Applied to Phoneme Recognition

F. Freitag, E. Monte, J. Salavedra

Polytechnic University of Catalunya, Department of Signal Theory and Communications, Barcelona, Spain

In this paper a phoneme recognition system based on predictive neural networks is proposed. Neural networks are used to predict observation vectors of speech frames. The obtained prediction error is used for phoneme recognition as 1) distortion measure on the frame level and 2) as feature, which is statistically modeled by the Rayleigh distribution. Continuous speech phoneme recognition experiments are performed different settings of the system are evaluated.

Full Paper

Bibliographic reference.  Freitag, F. / Monte, E. / Salavedra, J. (1997): "Predictive neural networks applied to phoneme recognition", In EUROSPEECH-1997, 2831-2834.