Speaker identification in noisy conditions using linear prediction of one-sided autocorrelation sequence

Consultar RECERCAT

Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/2117/88723

Título:	Speaker identification in noisy conditions using linear prediction of one-sided autocorrelation sequence
Autor/a:	Hernando Pericás, Francisco Javier; Nadeu Camprubí, Climent; Villagrasa, C; Monte Moreno, Enrique
Otros autores:	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
Abstract:	The OSALPC (One-Sided Autocorrelation Linear Predictive Coding) representation of the speech signal has shown to be attractive for speech recognition because of its simplicity and its high recognition performance with respect to the standard LPC in severe noisy conditions. In this paper the OSALPC technique is applied to the problem of speaker identification in noisy conditions. As shown with experimental results, using additive white noise, that technique also achieves much better results than both LPC and mel-cepstrum parameterizations in this task.
Abstract:	Peer Reviewed
Materia(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic -Speech processing systems -Signal processing -Processament de la parla -Tractament del senyal
Derechos:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipo de documento:	Artículo - Versión publicada Objeto de conferencia
Compartir: