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Predictive neural networks applied to phoneme recognition

Authors :
Freitag, Fèlix
Monte Moreno, Enrique
Salavedra Molí, Josep
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
Source :
UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Recercat. Dipósit de la Recerca de Catalunya, instname
Publication Year :
1997
Publisher :
ISCA, 1997.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
5th European Conference on Speech Communication and Technology (Eurospeech 1997)
Accession number :
edsair.doi.dedup.....a099ecd70c7f34bb968dc152094be38e
Full Text :
https://doi.org/10.21437/eurospeech.1997-714