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Items: 1 to 20 of 129

1.

Enhanced voice activity detection in kernel subspace domain.

Kim DK, Shin JW, Chang JH.

J Acoust Soc Am. 2013 Jul;134(1):EL70-6. doi: 10.1121/1.4809770.

PMID:
23862910
2.

A subspace approach based on embedded prewhitening for voice activity detection.

Kim DK, Chang JH.

J Acoust Soc Am. 2011 Nov;130(5):EL304-10. doi: 10.1121/1.3638927.

PMID:
22088032
3.

Statistical voice activity detection in kernel space.

Kim DK, Chang JH.

J Acoust Soc Am. 2012 Oct;132(4):EL303-9. doi: 10.1121/1.4747325.

PMID:
23039569
4.

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
5.

Voice activity detection algorithm using perceptual wavelet entropy neighbor slope.

Lee G, Na SD, Cho JH, Kim MN.

Biomed Mater Eng. 2014;24(6):3295-301. doi: 10.3233/BME-141152.

PMID:
25227039
6.

Principal component analysis for emergent acoustic signal detection with supporting simulation results.

Hoppe E, Roan M.

J Acoust Soc Am. 2011 Oct;130(4):1962-73. doi: 10.1121/1.3628324.

PMID:
21973351
7.

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
8.

Exploring super-Gaussianity toward robust information-theoretical time delay estimation.

Petsatodis T, Talantzis F, Boukis C, Tan ZH, Prasad R.

J Acoust Soc Am. 2013 Mar;133(3):1515-24. doi: 10.1121/1.4776193.

PMID:
23464022
9.

Evaluation of two algorithms for detecting human frequency-following responses to voice pitch.

Jeng FC, Hu J, Dickman B, Lin CY, Lin CD, Wang CY, Chung HK, Li X.

Int J Audiol. 2011 Jan;50(1):14-26. doi: 10.3109/14992027.2010.515620. Epub 2010 Nov 4.

PMID:
21047294
10.

Pathological likelihood index as a measurement of the degree of voice normality and perceived hoarseness.

Godino-Llorente JI, Gómez-Vilda P, Cruz-Roldán F, Blanco-Velasco M, Fraile R.

J Voice. 2010 Nov;24(6):667-77. doi: 10.1016/j.jvoice.2009.04.003. Epub 2010 Mar 6.

PMID:
20207107
11.

A spectral/temporal method for robust fundamental frequency tracking.

Zahorian SA, Hu H.

J Acoust Soc Am. 2008 Jun;123(6):4559-71. doi: 10.1121/1.2916590.

PMID:
18537404
12.

The optimal ratio time-frequency mask for speech separation in terms of the signal-to-noise ratio.

Liang S, Liu W, Jiang W, Xue W.

J Acoust Soc Am. 2013 Nov;134(5):EL452-8. doi: 10.1121/1.4824632.

PMID:
24181990
13.

Reconstruction techniques for improving the perceptual quality of binary masked speech.

Williamson DS, Wang Y, Wang D.

J Acoust Soc Am. 2014 Aug;136(2):892-902. doi: 10.1121/1.4884759.

PMID:
25096123
14.

Impulse-noise suppression in speech using the stationary wavelet transform.

Nongpiur RC, Shpak DJ.

J Acoust Soc Am. 2013 Feb;133(2):866-79. doi: 10.1121/1.4773264.

PMID:
23363105
15.

Noise reduction combining time-frequency epsilon-filter and M-transform.

Abe T, Matsumoto M, Hashimoto S.

J Acoust Soc Am. 2008 Aug;124(2):994-1005. doi: 10.1121/1.2940584.

PMID:
18681591
16.
17.

Voice activity detection in noisy environments based on double-combined fourier transform and line fitting.

Park J, Kim W, Han DK, Ko H.

ScientificWorldJournal. 2014;2014:146040. doi: 10.1155/2014/146040. Epub 2014 Aug 6.

18.

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
19.

Vocal tract acoustics.

Kent RD.

J Voice. 1993 Jun;7(2):97-117. Review.

PMID:
8353635
20.
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