Journal of Pharmaceutical Research International, ISSN: 2456-9119, ISSN: 2231-2919 (past),Vol.: 23, Issue.: 3
Physiology of Speech/Voice Production
Imen Daly1*, Zied Hajaiej1 and Ali Gharsallah2 1Signal, Image and Information Technology Laboratory, National School of Engineers of Tunis, Tunisia. 2Type Units of Research in High Frequency Electronic Circuits and Systems, Faculty of Mathematical, Physical and Natural Sciences of Tunis, Tunisia.
Imen Daly1*, Zied Hajaiej1 and Ali Gharsallah2
1Signal, Image and Information Technology Laboratory, National School of Engineers of Tunis, Tunisia.
2Type Units of Research in High Frequency Electronic Circuits and Systems, Faculty of Mathematical, Physical and Natural Sciences of Tunis, Tunisia.
(1) Vasudevan Mani, Universiti Teknologi MARA (UiTM), Selangor, Malaysia.
(1) Wen-Dien Chang, China Medical University, China.
(2) Yueh-Feng Sung, Tri-Service General Hospital, National Defense Medical Center, Taiwan.
(3) Md. Noorain Alam, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
(4) Jose M. Lasso, Universidad Complutense Madrid, Spain.
Complete Peer review History: http://www.sciencedomain.org/review-history/25827
Aims: This study looks at the pathological disorders analysis from speech signals. She presents the effectiveness of the few parameters of the glottal source and these moments of closure for the diagnosis of the Parkinson’s disease.
Study Design: This analysis is performed around the Czech database that contains many recordings were divided between PD and healthy control (HC). More than 68 subjects are used where each speaker pronounce the sustained vowel [a] in normal intonation.
Methodology: Several researchers are trying to produce objective measures to diagnose Parkinson's disease or to act as an objective tool to assist in its decision-making by measuring some vocal parameters. In this study, we studied the hyper nasality of PD and HC using acoustic analyzes.
Results: The results presented in this study indicate that speech related symptoms of PD are evident in the glottal flow signal. Particularly notable results were recorded for the glottal parameters, with the correlations found between the measurements and the deviations of the speech during the pronunciation of the vowel. These results can be used as positive indicators for the diagnosis of the disease
Conclusion: This study presents a glottal source analysis with its different parameters in the frequency domain and the detection of the closure time by using two algorithms. This study suggests that these findings will be useful as objective indices that can either diagnose Parkinson's disease or act as an objective decision support tool.
Parkinson's disease; healthy control; glottal source.
DOI : 10.9734/JPRI/2018/42403Review History Comments