Text independent speaker identification on noisy environments by means of self organizing maps

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/88736

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	Monte Moreno, Enrique
dc.contributor.author	Hernando Pericás, Francisco Javier
dc.date	1996
dc.identifier.citation	Monte, E., Hernando, J. Text independent speaker identification on noisy environments by means of self organizing maps. A: International Conference on Spoken Language Processing. "ICSLP 96: Fourth International Conference on Spoken Language Processing: October 3-6, 1996: Wyndham Franklin Plaza Hotel, Philadelphia, PA, USA: proceedings". Philadelphia, PA: Institute of Electrical and Electronics Engineers (IEEE), 1996, p. 1804-1807.
dc.identifier.citation	0-7803-3555-4
dc.identifier.citation	10.1109/ICSLP.1996.607980
dc.identifier.uri	http://hdl.handle.net/2117/88736
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/stamp/stamp.jsp?tp=&arnumber=607980
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
dc.subject	Speech processing systems
dc.subject	Acoustic noise
dc.subject	Covariance matrices
dc.subject	Self-organising feature maps
dc.subject	Speaker recognition
dc.subject	Processament de la parla
dc.title	Text independent speaker identification on noisy environments by means of self organizing maps
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	We propose an architecture for speaker recognition. This architecture is independent of the text, robust with the presence of noise, and is based on self organizing maps (SOM) (T. Kohonen, 1984). We compare the performance of this architecture for different parametrizations, different signal to noise ratios, with another method for speaker identification based on the arithmetic harmonic spherity measure on covariance matrices (F. Bimbot and L. Mathan, 1993; J. Hernando et al., 1994)
dc.description.abstract	Peer Reviewed

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