Semiparametric Filtering in Speech Processing

Kedem, Benjamin; Fokianos, Konstantinos

doi:10.1007/978-1-4419-9017-4_12

Benjamin Kedem⁶ &
Konstantinos Fokianos⁷

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 138))

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Abstract

We consider m data sets where the first m — 1 are obtained by sampling from multiplicative exponential distortions of the mth distribution, it being a reference. The combined data from m samples, one from each distribution, are used in the semiparametric large sample problem of estimating each distortion and the reference distribution, and testing the hypothesis that the distributions are identical. Possible applications to speech processing are mentioned.

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Authors and Affiliations

Department of Mathematics, University of Maryland, College Park, MD, 20742, USA
Benjamin Kedem
Department of Mathematics & Statistics, University of Cyprus, P.O. Box 20537, Nicosia, 1678, Cyprus
Konstantinos Fokianos

Authors

Benjamin Kedem
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Konstantinos Fokianos
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Editor information

Editors and Affiliations

Dept. of Cognitive and Linguistic Studies, Brown University, Providence, RI, 02912, USA
Mark Johnson
Dept. of ECE and Dept. of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA
Sanjeev P. Khudanpur
Dept. of Electrical Engineering, University of Washington, Seattle, WA, 98195, USA
Mari Ostendorf
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
Roni Rosenfeld

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Kedem, B., Fokianos, K. (2004). Semiparametric Filtering in Speech Processing. In: Johnson, M., Khudanpur, S.P., Ostendorf, M., Rosenfeld, R. (eds) Mathematical Foundations of Speech and Language Processing. The IMA Volumes in Mathematics and its Applications, vol 138. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9017-4_12

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DOI: https://doi.org/10.1007/978-1-4419-9017-4_12
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6484-2
Online ISBN: 978-1-4419-9017-4
eBook Packages: Springer Book Archive

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