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Correlation between Pathological Voice Onset and Voice Quality Based on Vocal Attack Time(VAT) and Multidimensional Voice Parameters
Wu, Nankai1; Cao, Qingsong2; Li, Huanzhe3; Hou, Xingquan4; Lo, Infat5; Kong, Jiangping1
2020-12-04
Conference Name2020 International Symposium on Artificial Intelligence in Medical Sciences
Source PublicationISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences
Pages107-111
Conference Date2020/09/11-2020/09/13
Conference PlaceBeijing, China
Abstract

Correlation between pathological Voice Onset and Voice Quality of Chinese patients based on Vocal Attack Time(VAT) and Multidimensional Voice Parameters is discussed in this paper. The test subjects were divided into three groups, one is normal voice group and the other two are pathologic voice groups, namely, vocal cord polyps and non vocal cord polyps. We recorded the EGG signal for the above subjects and extracted the Jitter, Shimmer, HNR and VAT parameters by the relevant software. The VAT and other voice parameters at /a:/, /i:/ and /u:/ vowels were then compared and analyzed in different groups. The results showed that there was no significant difference in the VAT between the three groups at /a:/, /i:/, and /u:/ vowels. In addition, the analysis of VAT changes in a patient with vocal cord polyps before and after surgery revealed that neither the overall difference in stops nor the difference in manner of aspiration or not was significant, indicating VAT is not a specific indicator of vocal cord polyps.

KeywordElectroglottography Pathological Voice Vocal Attack Time Voice Onset Voice Quality
DOI10.1145/3429889.3430079
URLView the original
Language英語English
The Source to ArticleScopus
Scopus ID2-s2.0-85097954477
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Document TypeConference paper
CollectionFaculty of Arts and Humanities
DEPARTMENT OF CHINESE LANGUAGE AND LITERATURE
Corresponding AuthorWu, Nankai
Affiliation1.Department of Chinese Language and Literature, Peking University, Beijing, China
2.Department of Otorhinolaryngology, The First Affiliated Hospital, Jinan University, China
3.School of Chinese Language and Literature, Nanjing Normal University, Nanjing, China
4.Department of Chinese Language and Literature, Jinan University, Guangzhou, China
5.Department of Chinese Language and Literature, University of Macau, Macau, Macao
Recommended Citation
GB/T 7714
Wu, Nankai,Cao, Qingsong,Li, Huanzhe,et al. Correlation between Pathological Voice Onset and Voice Quality Based on Vocal Attack Time(VAT) and Multidimensional Voice Parameters[C], 2020, 107-111.
APA Wu, Nankai., Cao, Qingsong., Li, Huanzhe., Hou, Xingquan., Lo, Infat., & Kong, Jiangping (2020). Correlation between Pathological Voice Onset and Voice Quality Based on Vocal Attack Time(VAT) and Multidimensional Voice Parameters. ISAIMS '20: Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences, 107-111.
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