### Automatic speech signal segmentation based on the innovation adaptive filter

Ryszard Makowski, Robert Hossa (2014)

International Journal of Applied Mathematics and Computer Science

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Ryszard Makowski, Robert Hossa (2014)

International Journal of Applied Mathematics and Computer Science

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Ryszard Makowski, Robert Hossa (2014)

International Journal of Applied Mathematics and Computer Science

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Bessios, Anthony G., Caimi, Frank M. (1996)

Mathematical Problems in Engineering

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Ivan Vrana, Mohamed Mahmoud El-Hefnawi (1978)

Kybernetika

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Ewa Świercz (2010)

International Journal of Applied Mathematics and Computer Science

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A new supervised classification algorithm of a heavily distorted pattern (shape) obtained from noisy observations of nonstationary signals is proposed in the paper. Based on the Gabor transform of 1-D non-stationary signals, 2-D shapes of signals are formulated and the classification formula is developed using the pattern matching idea, which is the simplest case of a pattern recognition task. In the pattern matching problem, where a set of known patterns creates predefined classes,...

Jaranowski, Piotr, Królak, Andrzej (2005)

Living Reviews in Relativity [electronic only]

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Ludvík Prouza (1984)

Kybernetika

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Chawla, M.P.S. (2007)

Computational & Mathematical Methods in Medicine

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Petr Tichavský, Zbyněk Koldovský (2011)

Kybernetika

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This paper presents a survey of recent successful algorithms for blind separation of determined instantaneous linear mixtures of independent sources such as natural speech or biomedical signals. These algorithms rely either on non-Gaussianity, nonstationarity, spectral diversity, or on a combination of them. Performance of the algorithms will be demonstrated on separation of a linear instantaneous mixture of audio signals (music, speech) and on artifact removal in electroencephalogram...