Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Study on the airflow signal model of voiceless plosive in Xiahe Tibetan based on Glottal MS110

Authors
Jing Zhang1, Yonghong Li2, *
1Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Lanzhou University of Finance and Economics, Northwest Minzu University, Yinchuan, China
2Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Yinchuan, China
*Corresponding author. Email: lyhweiwei@126.com
Corresponding Author
Yonghong Li
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_81How to use a DOI?
Keywords
Tibetan; Xiahe dialect; plosive; airflow signal; model
Abstract

This paper takes Xiahe dialect as the research object, writes a Matlab program to extract the airflow signal parameters of the voiceless plosive initial, and establishes the airflow model of the plosive on the basis of more than 200 monosyllabic corpus, and describes the characteristics of different plosives from the perspective of aerodynamics of speech. From the airflow signal parameters, the duration, airflow volume, airflow velocity and peak value of the aspirated plosive are significantly greater than that of the non-aspirated plosive. The airflow volume, airflow velocity and peak value of the velar are significantly smaller than those of the bilabial sound and the alveolar. From the air flow model, the non-aspirated plosive can be fitted as a linear model, and the aspirated plosive is two-stage and can be fitted as a polynomial model. The most significant difference between different pronunciation points of plosives is the slope. The slope of the alveolar is the largest, followed by the bilabial, and the velar is the smallest.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_81
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_81How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jing Zhang
AU  - Yonghong Li
PY  - 2023
DA  - 2023/09/28
TI  - Study on the airflow signal model of voiceless plosive in Xiahe Tibetan based on Glottal MS110
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 702
EP  - 709
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_81
DO  - 10.2991/978-94-6463-264-4_81
ID  - Zhang2023
ER  -