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.
Freitag, F., Monte, E., Salavedra, J. Predictive neural networks applied to phoneme recognition. A: European Conference on Speech Communication and Technology. "EUROSPEECH'97: 5th European Conference on Speech Communication and Technology: Rhodes, Greece: 22-25 September 1997". Rhodes: 1997, p. 2831-2834.