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Items: 1 to 20 of 259

1.

Multidirectional regression (MDR)-based features for automatic voice disorder detection.

Muhammad G, Mesallam TA, Malki KH, Farahat M, Mahmood A, Alsulaiman M.

J Voice. 2012 Nov;26(6):817.e19-27. doi: 10.1016/j.jvoice.2012.05.002.

PMID:
23177748
2.

On combining information from modulation spectra and mel-frequency cepstral coefficients for automatic detection of pathological voices.

Arias-Londoño JD, Godino-Llorente JI, Markaki M, Stylianou Y.

Logoped Phoniatr Vocol. 2011 Jul;36(2):60-9. doi: 10.3109/14015439.2010.528788. Epub 2010 Nov 12.

PMID:
21073260
3.

Automatic Voice Pathology Detection With Running Speech by Using Estimation of Auditory Spectrum and Cepstral Coefficients Based on the All-Pole Model.

Ali Z, Elamvazuthi I, Alsulaiman M, Muhammad G.

J Voice. 2016 Nov;30(6):757.e7-757.e19. doi: 10.1016/j.jvoice.2015.08.010. Epub 2015 Oct 27.

PMID:
26522263
4.

Towards objective evaluation of perceived roughness and breathiness: an approach based on mel-frequency cepstral analysis.

Sáenz-Lechón N, Fraile R, Godino-Llorente JI, Fernández-Baíllo R, Osma-Ruiz V, Gutiérrez-Arriola JM, Arias-Londoño JD.

Logoped Phoniatr Vocol. 2011 Jul;36(2):52-9. doi: 10.3109/14015439.2010.517551. Epub 2010 Sep 17.

PMID:
20849245
5.

Automatic intelligibility assessment of speakers after laryngeal cancer by means of acoustic modeling.

Bocklet T, Riedhammer K, Nöth E, Eysholdt U, Haderlein T.

J Voice. 2012 May;26(3):390-7. doi: 10.1016/j.jvoice.2011.04.010. Epub 2011 Aug 5.

PMID:
21820272
6.

Discrimination between pathological and normal voices using GMM-SVM approach.

Wang X, Zhang J, Yan Y.

J Voice. 2011 Jan;25(1):38-43. doi: 10.1016/j.jvoice.2009.08.002. Epub 2010 Feb 4.

PMID:
20137892
7.

Formant analysis in dysphonic patients and automatic Arabic digit speech recognition.

Muhammad G, Mesallam TA, Malki KH, Farahat M, Alsulaiman M, Bukhari M.

Biomed Eng Online. 2011 May 30;10:41. doi: 10.1186/1475-925X-10-41.

8.

Using modulation spectra for voice pathology detection and classification.

Markaki M, Stylianou Y.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:2514-7. doi: 10.1109/IEMBS.2009.5334850.

PMID:
19964970
9.

Toward improved ecological validity in the acoustic measurement of overall voice quality: combining continuous speech and sustained vowels.

Maryn Y, Corthals P, Van Cauwenberge P, Roy N, De Bodt M.

J Voice. 2010 Sep;24(5):540-55. doi: 10.1016/j.jvoice.2008.12.014. Epub 2009 Nov 2.

PMID:
19883993
10.

Voice source characterization using pitch synchronous discrete cosine transform for speaker identification.

Ramakrishnan AG, Abhiram B, Prasanna SR.

J Acoust Soc Am. 2015 Jun;137(6):EL469-75. doi: 10.1121/1.4921679.

PMID:
26093457
11.

Predictive value and discriminant capacity of cepstral- and spectral-based measures during continuous speech.

Lowell SY, Colton RH, Kelley RT, Mizia SA.

J Voice. 2013 Jul;27(4):393-400. doi: 10.1016/j.jvoice.2013.02.005. Epub 2013 May 16.

PMID:
23684735
12.

Validity of jitter measures in non-quasi-periodic voices. Part I: perceptual and computer performances in cycle pattern recognition.

Dejonckere P, Schoentgen J, Giordano A, Fraj S, Bocchi L, Manfredi C.

Logoped Phoniatr Vocol. 2011 Jul;36(2):70-7. doi: 10.3109/14015439.2011.578078.

PMID:
21689056
13.

Validity of jitter measures in non-quasi-periodic voices. Part II: the effect of noise.

Manfredi C, Giordano A, Schoentgen J, Fraj S, Bocchi L, Dejonckere P.

Logoped Phoniatr Vocol. 2011 Jul;36(2):78-89. doi: 10.3109/14015439.2011.578077. Epub 2011 May 24.

PMID:
21609247
14.

Objective assessment of pediatric voice disorders with the acoustic voice quality index.

Reynolds V, Buckland A, Bailey J, Lipscombe J, Nathan E, Vijayasekaran S, Kelly R, Maryn Y, French N.

J Voice. 2012 Sep;26(5):672.e1-7. doi: 10.1016/j.jvoice.2012.02.002. Epub 2012 May 25.

PMID:
22632794
15.

Automatic measurement of voice onset time using discriminative structured prediction.

Sonderegger M, Keshet J.

J Acoust Soc Am. 2012 Dec;132(6):3965-79. doi: 10.1121/1.4763995.

PMID:
23231126
16.

Acoustic speech analysis for hypernasality detection in children.

Castellanos G, Daza G, Sánchez L, Castrillón O, Suárez J.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:5507-10.

PMID:
17946309
17.

Effects of audio compression in automatic detection of voice pathologies.

Sáenz-Lechón N, Osma-Ruiz V, Godino-Llorente JI, Blanco-Velasco M, Cruz-Roldán F, Arias-Londoño JD.

IEEE Trans Biomed Eng. 2008 Dec;55(12):2831-5. doi: 10.1109/TBME.2008.923769.

PMID:
19126465
18.

Advanced voice function assessment: editorial introduction to this special issue.

Barney A, Kob M.

Logoped Phoniatr Vocol. 2015 Apr;40(1):1-4. doi: 10.3109/14015439.2015.1006425. Epub 2015 Feb 27.

PMID:
25724282
19.

Automatic assessment of voice quality according to the GRBAS scale.

Sáenz-Lechón N, Godino-Llorente JI, Osma-Ruiz V, Blanco-Velasco M, Cruz-Roldán F.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:2478-81.

PMID:
17946516
20.

Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors.

Godino-Llorente JI, Gómez-Vilda P.

IEEE Trans Biomed Eng. 2004 Feb;51(2):380-4.

PMID:
14765711

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