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Your search keyword '"Barbon, Sylvio"' showing total 3 results
Start Over Author "Barbon, Sylvio" Topic pattern recognition systems
3 results on '"Barbon, Sylvio"'

1. Wavelet-based cepstrum calculation

Author

Sanchez, Fabrício Lopes, Barbon, Sylvio, Vieira, Lucimar Sasso, Guido, Rodrigo Capobianco, Fonseca, Everthon Silva, Scalassara, Paulo Rogério, Maciel, Carlos Dias, Pereira, José Carlos, and Chen, Shi-Huang

Subjects
*WAVELETS (Mathematics), *CEPSTRUM analysis (Mechanics), *ALGORITHMS, *AUTOMATIC speech recognition, *PATTERN recognition systems, *MATHEMATICAL transformations, *MATHEMATICAL analysis
Abstract

Abstract: In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It can be used for real time precise pitch determination in automatic speech and speaker recognition systems. Many wavelet families are examined to determine the one that works best. The results confirm the efficacy and accuracy of the proposed technique for pitch extraction. [Copyright &y& Elsevier]

Published
2009
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2. Wavelet-based dynamic time warping

Author

Barbon, Sylvio, Guido, Rodrigo Capobianco, Vieira, Lucimar Sasso, Silva Fonseca, Everthon, Sanchez, Fabrício Lopes, Scalassara, Paulo Rogério, Maciel, Carlos Dias, Pereira, José Carlos, and Chen, Shi-Huang

Subjects
*WAVELETS (Mathematics), *PATTERN recognition systems, *SPEECH perception, *MATHEMATICAL transformations, *MATHEMATICAL analysis, *HARMONIC analysis (Mathematics)
Abstract

Abstract: Dynamic Time Warping (DTW), a pattern matching technique traditionally used for restricted vocabulary speech recognition, is based on a temporal alignment of the input signal with the template models. The principal drawback of DTW is its high computational cost as the lengths of the signals increase. This paper shows extended results over our previously published conference paper, which introduces an optimized version of the DTW that is based on the Discrete Wavelet Transform (DWT). [Copyright &y& Elsevier]

Published
2009
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3. Introducing the Discriminative Paraconsistent Machine (DPM)

Author

Guido, Rodrigo Capobianco, Barbon, Sylvio, Solgon, Regiane Denise, Silva Paulo, Kátia Cristina, Rodrigues, Luciene Cavalcanti, da Silva, Ivan Nunes, and Lemos Escola, João Paulo

Subjects
*PATTERN recognition systems, *ARTIFICIAL intelligence, *MACHINE theory, *INTELLIGENT agents, *COMPUTER science, *INFORMATION technology
Abstract

Abstract: This paper introduces a new tool for pattern recognition. Called the Discriminative Paraconsistent Machine (DPM), it is based on a supervised discriminative model training that incorporates paraconsistency criteria and allows an intelligent treatment of contradictions and uncertainties. DPMs can be applied to solve problems in many fields of science, using the tests and discussions presented here, which demonstrate their efficacy and usefulness. Major difficulties and challenges that were overcome consisted basically in establishing the proper model with which to represent the concept of paraconsistency. [Copyright &y& Elsevier]

Published
2013
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