New hos-based parameter estimation methods for speech recognition in noisy environments

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Title:	New hos-based parameter estimation methods for speech recognition in noisy environments
Author:	Moreno Bilbao, M. Asunción; Tortola, S; Vidal Manzano, José; Rodríguez Fonollosa, José Adrián
Other authors:	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla; Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
Abstract:	The problem of recognition in noisy environments is addressed. Often, a recognition system is used in a noisy environment and there is no possibility of training it with noisy samples. Classical speech analysis techniques are based on second-order statistics and their performance dramatically decreases when noise is present in the signal under analysis. New methods based on higher order statistics (HOS) are applied in a recognition system and compared against the autocorrelation method. Cumulant-based methods show better performance than autocorrelation-based methods for low SNR
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Telecommunication -Noise -Speech processing -Speech recognition -Parameter estimation -Higher order statistics -Correlation methods -Telecomunicació
Rights:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Published version Conference Object
Published by:	. S.N.
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