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Semi-automatic algorithm for construction of the left ventricular area variatio...
Melo Júnior, Salvador Alves de; Macchiavello Espinoza, Bruno Luiggi; Andrade, Marcelino Monteiro de; Carvalho, João Luiz Azevedo deThe present study was supported by CNPq, a Brazilian government agency for scientific and technological development: “Chamada Conjunta MCT/SEPIN-FINEP-CNPq 01/2002, Programa de Apoio à Pesquisa e Desenvolvimento e Inovação em Tecnologia da Informação PDI - TI”. BM received a M.Sc. fellowship from the Brazilian Ministry of Education (MEC/CAPES).; Background: Two-dimensional echocardiography (2D-echo) allows the ...
Noise-robust speaker recognition using reduced Multiconditional Gaussian Mixtur...
D’Almeida, Frederico Quadros; Nascimento, Francisco Assis de Oliveira; Berger, Pedro de Azevedo; Silva, Lúcio Martins daMulticonditional Modeling is widely used to create noise-robust speaker recognition systems. However, the approach is computationally intensive. An alternative is to optimize the training condition set in order to achieve maximum noise robustness while using the smallest possible number of noise conditions during training. This paper establishes the optimal conditions for a noise-robust training model by consid...
Automatic speaker recognition with Multi-resolution Gaussian Mixture models (MR...
D’Almeida, Frederico Quadros; Nascimento, Francisco Assis de Oliveira; Berger, Pedro de Azevedo; Silva, Lúcio Martins daGaussian Mixture Models (GMMs) are the most widely used technique for voice modeling in automatic speaker recognition systems. In this paper, we introduce a variation of the traditional GMM approach that uses models with variable complexity (resolution). Termed Multi-resolution GMMs (MR-GMMs); this new approach yields more than a 50% reduction in the computational costs associated with proper speaker identifica...
Otimização de desempenho de algoritmos de compressão de sinais biológicos utili...
Berger, Pedro de AzevedoTese (doutorado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2006.; Este trabalho pretende colaborar com o desenvolvimento de tecnologias de codificação de sinais biológicos (sinais eletrofisiológicos e sinais de voz) através da criação, avaliação e, principalmente, a otimização de codificadores utilizando redes neurais artificiais. Durante a pesquisa realizada, desen...