Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Shih, Alex"'
Autor:
Guinigundo, Andrew S., Maxwell, Cathy L., Vanni, Linda, Morrow, Phuong Khanh, Reiner, Maureen, Shih, Alex, Klippel, Zandra, Blanchard, Elizabeth
Publikováno v:
In Pain Management Nursing December 2018 19(6):693-706
Akademický článek
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Autor:
Kratzke, Ian M., Goss, Ryan S., Razzaque, Sharif, Shih, Alex, Steele, Paula L., Nurczyk, Kamil M., Gerber, David A.
Publikováno v:
The American Surgeon; May 2023, Vol. 89 Issue: 5 p1693-1700, 8p
Publikováno v:
Journal of Chemical Physics; 12/15/2004, Vol. 121 Issue 23, p11798-11801, 4p, 2 Charts, 2 Graphs
Publikováno v:
Journal of Chemical Physics. 12/15/2004, Vol. 121 Issue 23, p11798-11801. 4p. 2 Charts, 2 Graphs.
Publikováno v:
ICASSP
Previous studies of an automated detection of Major Depression in adolescents based on acoustic speech analysis identified the glottal and the Teager Energy features as the strongest correlates of depression. This study investigates the effectiveness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6caf78dbca4c37b17a7c6e71024162e1
https://doi.org/10.1109/icassp.2012.6288946
https://doi.org/10.1109/icassp.2012.6288946
Publikováno v:
IEEE transactions on bio-medical engineering. 58(3)
The properties of acoustic speech have previously been investigated as possible cues for depression in adults. However, these studies were restricted to small populations of patients and the speech recordings were made during patients' clinical inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c2b24c33282ad405552ad77bf1d1a80
https://pubmed.ncbi.nlm.nih.gov/21075715
https://pubmed.ncbi.nlm.nih.gov/21075715
Publikováno v:
ICASSP
In this paper, we report the influence that classification accuracies have in speech analysis from a clinical dataset by adding acoustic low-level descriptors (LLD) belonging to prosodic (i.e. pitch, formants, energy, jitter, shimmer) and spectral fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b92d3cb3c34e634ad70d6726574cbba5
https://doi.org/10.1109/icassp.2010.5495018
https://doi.org/10.1109/icassp.2010.5495018
Publikováno v:
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
We proposed a framework to detect the video contents of depressed and non-depressed subjects. First we characterized the expressed emotions in the video stream using Gabor wavelet features extracted at the facial landmarks which were detected using l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ce364868285cc33df0eb5f2c1675b9b
https://doi.org/10.1109/iembs.2009.5334815
https://doi.org/10.1109/iembs.2009.5334815
Mel frequency cepstral feature and Gaussian Mixtures for modeling clinical depression in adolescents
Publikováno v:
IEEE ICCI
With suicidal behavior being linked to depression that starts at an early age of a person's life, many investigators are trying to find early tell-tale signs to assist psychologists in detecting clinical depression through acoustic analysis of a pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c512da66395ca978059b4b2069a86ba9
https://doi.org/10.1109/coginf.2009.5250714
https://doi.org/10.1109/coginf.2009.5250714