Study on the airflow signal model of voiceless plosive in Xiahe Tibetan based on Glottal MS110
- 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.
Cite this article
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 -