Nonlinear dynamic neural network for text-independent speaker identification using information theoretic learning technology.
Conf Proc IEEE Eng Med Biol Soc
; 2006: 2442-5, 2006.
Article
em En
| MEDLINE
| ID: mdl-17946959
ABSTRACT
In this paper we present a novel design for a nonlinear dynamic neural network to implement text-independent speaker recognition without the benefit of exact voice signatures. The dynamic properties between the input neuron and the output neuron make use of a nonlinear high-order synaptic neural model with memory of previous input signals. The dynamic neural network is realized in the short-term-frequency long-term-temporal domain. Informatics metric is used to overcome the challenge of performing blind learning for the nonlinear network. The goal of this study is not only to improve the recognition performance but also to amplify the distinctiveness among different speakers.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Espectrografia do Som
/
Medida da Produção da Fala
/
Algoritmos
/
Sistemas Inteligentes
/
Reconhecimento Automatizado de Padrão
/
Biometria
/
Redes Neurais de Computação
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2006
Tipo de documento:
Article