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Effects of audio compression in automatic detection of voice pathologies
Citation
Sáenz Lechón, Nicolas and Osma Ruiz, Víctor and Godino Llorente, Juan Ignacio and Blanco Velasco, Manuel and Cruz Roldán, Fernando and Arias Londoño, Julian (2008). Effects of audio compression in automatic detection of voice pathologies. "IEEE Transactions on Biomedical Engineering", v. 55 (n. 12); pp. 2831-2835. ISSN 0018-9294. https://doi.org/10.1109/TBME.2008.923769.
Description
| Title: | Effects of audio compression in automatic detection of voice pathologies |
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| Author/s: |
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| Item Type: | Article |
| Título de Revista/Publicación: | IEEE Transactions on Biomedical Engineering |
| Date: | December 2008 |
| ISSN: | 0018-9294 |
| Volume: | 55 |
| Subjects: | |
| Faculty: | E.U.I.T. Telecomunicación (UPM) |
| Department: | Ingeniería de Circuitos y Sistemas [hasta 2014] |
| UPM's Research Group: | DET curve Gaussian mixtures models MP3 format ROC curve audio compression effects automatic system performance automatic voice pathology detection system cepstral measurements detector error tradeoff curve noise measurements receiver operating characteristic curve support vector machines telemedicine voice signal characterisation |
| Creative Commons Licenses: | Recognition - Non commercial - Share |
Abstract
This paper investigates the performance of an automatic system for voice pathology detection when the voice samples have been compressed in MP3 format and different binary rates (160, 96, 64, 48, 24, and 8 kb/s). The detectors employ cepstral and noise measurements, along with their derivatives, to characterize the voice signals. The classification is performed using Gaussian mixtures models and support vector machines. The results between the different proposed detectors are compared by means of detector error tradeoff (DET) and receiver operating characteristic (ROC) curves, concluding that there are no significant differences in the performance of the detector when the binary rates of the compressed data are above 64 kb/s. This has useful applications in telemedicine, reducing the storage space of voice recordings or transmitting them over narrow-band communications channels.
More information
| Item ID: | 2019 |
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| DC Identifier: | https://oa.upm.es/2019/ |
| OAI Identifier: | oai:oa.upm.es:2019 |
| DOI: | 10.1109/TBME.2008.923769 |
| Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4494380 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 21 Dec 2009 08:35 |
| Last Modified: | 20 Apr 2016 11:49 |
