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Dysphonia detection based on modulation spectral features and cepstral coefficients.

, , , and . ICASSP, page 5162-5165. IEEE, (2010)

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Embedded filter bank-based algorithm for ECG compression, , , , and . Signal Processing, 88 (6): 1402--1412 (June 2008)Evidence of vocal cord pathology from the mucosal wave cepstral contents., , , , , , and . ICASSP (5), page 437-440. IEEE, (2004)Embedded filter bank-based algorithm for ECG compression., , , , and . Signal Process., 88 (6): 1402-1412 (2008)Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors., and . IEEE Trans. Biomed. Eng., 51 (2): 380-384 (2004)Effects of Audio Compression in Automatic Detection of Voice Pathologies., , , , , and . IEEE Trans. Biomed. Eng., 55 (12): 2831-2835 (2008)LPC, LPCC and MFCC parameterisation applied to the detection of voice impairments., , and . INTERSPEECH, page 965-968. ISCA, (2000)Effect of a Simulated Analogue Telephone Channel on the Performance of a Remote Automatic System for the Detection of Pathologies in Voice: Impact of Linear Distortions on Cepstrum-Based Assessment - Band Limitation, Frequency Response and Additive Noise., , , , and . BIOSTEC (Selected Papers), volume 52 of Communications in Computer and Information Science, page 173-186. (2009)Automatic GRBAS assessment using complexity measures and a multiclass GMM-based detector., , , , and . MAVEBA, page 111-114. Firenze University Press / ISCA, (2011)Using biomechanical parameter estimates in voice pathology detection., , , , , , , , , and 2 other author(s). MAVEBA, page 59-62. Firenze University Press / ISCA, (2005)Support Vector Machines Applied to the Detection of Voice Disorders., , , , , and . NOLISP, volume 3817 of Lecture Notes in Computer Science, page 219-230. Springer, (2005)