Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/15010
Título: Artificial immune systems for text-dependent speaker recognition
Autor: Faraoun, K. M.
Boukelif, A.
Palavras-chave: Speaker recognition
Artificial immune system
Negative selection
Publicador: Universidade Federal de Lavras (UFLA)
Data: 1-Dez-2006
Referência: FARAOUN, K. M.; BOUKELIF, A. Artificial immune systems for text-dependent speaker recognition. INFOCOMP Journal of Computer Science, Lavras, v. 5, n. 4, p. 19-26, Dec. 2006.
Abstract: This paper shows the potential accomplishments of artificial immune systems (in particular, the negative selection algorithm) application to the problem of speaker recognition. Both the use of binary representation of original signal and that of its Fast Fourier Transform in a real-number representation are analysed. A number of experiments are performed on different datasets to examine the performance evolution with respect to the different system parameters. It is found that substantial enhancements of the system capabilities are possible by means of the exploitation of the Fast Fourier Transform.
Idioma: eng
Aparece nas coleções:Infocomp

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
ARTIGO_Artificial immune systems for text-dependent speaker recognition.pdf317 kBAdobe PDFVisualizar/Abrir


Este item está licenciada sob uma Licença Creative Commons Creative Commons