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Fraile Muñoz, Rubén and Godino Llorente, Juan Ignacio and Sáenz Lechón, Nicolas and Osma Ruiz, Víctor (2008). Use of Cepstrum-based parameters for automatic pathology detection on speech. Analysis of performance and theoretical justification. In: "International Conference on Bio-inspired Systems and Signal Processing", 28/01/2008-31/01/2008, Madeira, Portugal. ISBN 978-989-8111-18-0.
Title: | Use of Cepstrum-based parameters for automatic pathology detection on speech. Analysis of performance and theoretical justification |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | International Conference on Bio-inspired Systems and Signal Processing |
Event Dates: | 28/01/2008-31/01/2008 |
Event Location: | Madeira, Portugal |
Title of Book: | Proceedings International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2008 |
Date: | 2008 |
ISBN: | 978-989-8111-18-0 |
Subjects: | |
Freetext Keywords: | Speech analysis, Pattern classification. |
Faculty: | E.U.I.T. Telecomunicación (UPM) |
Department: | Ingeniería de Circuitos y Sistemas [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The majority of speech signal analysis procedures for automatic pathology detection mostly rely on parameters extracted from time-domain processing. Moreover, calculation of these parameters often requires prior pitch period estimation; therefore, their validity heavily depends on the robustness of pitch detection. Within this paper, an alternative approach based on cepstral-domain processing is presented which has the advantage of not requiring pitch estimation, thus providing a gain in both simplicity and robustness. While the proposed scheme is similar to solutions based on Mel-frequency cepstral parameters, already present in literature, it has an easier physical interpretation while achieving similar performance standards.
Item ID: | 4664 |
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DC Identifier: | https://oa.upm.es/4664/ |
OAI Identifier: | oai:oa.upm.es:4664 |
Official URL: | http://www.biosignals.biostec.org/Biosignals2008/ |
Deposited by: | Memoria Investigacion |
Deposited on: | 27 Oct 2010 10:10 |
Last Modified: | 20 Apr 2016 13:47 |