SPEAKER NORMALIZATION IMPROVEMENT BY NEURAL NETWORK PARAMETER OPTIMIZATION

Michele Autiero, Diego Giuliani, Salvatore Rampone () and Roberto Tagliaferri
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Michele Autiero: IIASS "E. R. Caianiello", Vietri Sul Mare (SA), Italy
Diego Giuliani: IRST, Istituto per la Ricerca Scientifica e Tecnologica, Povo (TN), Italy
Salvatore Rampone: Facoltà di Scienze, Università del Sannio — Benevento, Via Port'Arsa 11, I-82100 Benevento, Italy
Roberto Tagliaferri: INFM, Unit of Salerno, Italy;

International Journal of Modern Physics C (IJMPC), 1999, vol. 10, issue 06, 1117-1135

Abstract: In this work we investigate the use of a speaker adaptation technique, for speech recognition, based on neural network spectral mapping. Different multilayer perceptron neural network architectures are analyzed in order to optimize the spectral difference reduction in acoustic data of two speakers. Experiments are carried out in a telecontrol environment, used to provide voice commands to a mobile robot, based on DTW pattern matching.

Keywords: Neural network; Parameter optimization; Speaker adaptation; Spectral mapping; Speech recognition (search for similar items in EconPapers)
Date: 1999
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DOI: 10.1142/S0129183199000917

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